Post COVID Career Prospects of M.Sc. Tech (Statistics and Data Science)

In this current scenario i.e. post COVID period data science becomes a new era. Data science has played a vital role in making the policies or decision making in real life world. It is one of the trendiest jobs across the globe in terms of future scope and career stability. Data science is an interdisciplinary subject that includes the use of statistics, big data analytics, machine learning and related aspects in order to understand the problem or phenomena with respect to a set of real-world data. The thrust areas of data science are fraud and risk detection, healthcare, internet search, targeted advertising, advanced image recognition, speech recognition, airline route planning etc. Under health care sector it is having different applications such as medical image analysis, genetics & genomics, drug development, virtual assistance for patients and customer support. Thus, data science has major demand in many organization around the globe. In today’s career-oriented world, students are confused on choosing the right subject after completing graduation that will help them to get a good placement in the job enterprise. After graduation, numerous options like master degree in the general subjects, or in various professional courses confuse the students to take the right decision. Today, both students and their parents are seeking for job-centric programs, though general study programs are mostly preferred as their first choice. A good choice can be a program that is a combination of both general and professional courses. It is always better to choose a program that is a natural progression of the existing skills and qualifications along with some professional development skills.

The Role of Statistics and Data Science in Today’s World:
The pursuit of a career in Statistics is in high demand today. With a degree in Statistics, career opportunities are boundless. Statisticians have been known as Economists, Scientists, Mathematicians, Field Investigator or Qualitative Researcher. The ‘data-hungry’ modern world now calls them data analyst, business analysts, data scientists, quality and risk analysts. Data Science has become an integral contributor to success in career opportunities. Data Scientists and Data Analytics are in high demand in today’s job world. Data Science based enterprises are the largest companies in the entire world. The famous websites like Google, Amazon, and Facebook, use data science to create algorithms that improve customer satisfaction, which in turn maximizes the profit. Thus, with a degree in Data Science, one can work with high-tech companies like Google, Amazon, LinkedIn, Facebook, banking and financial companies like ICICI Bank, Axis Bank, or research firms like McKenzie, Deloitte.

So, according to the trend of the modern job world, the best option is to choose a program in Statistics or Data Science. But, can one pursue both Statistics and Data Science at the same time? Yes, the Department of Mathematics, Adamas University is offering such a program which is a combination of both Statistics and Data Science. The program name is ‘M.Sc. (Tech.) in Statistics and Data Science’. This program is also a combination of both general and professional courses, Statistics, being a general subject and Data Science, a professional course.

M.Sc. Tech (Statistics and Data Science) program is a two years (four semesters) post-graduate degree course which combines Statistics, Mathematics and Computer Science with applications to Data Science and Data Analysis to meet the demand of today’s job world. From Probability Theory and Statistics to Statistical Inference, from Applied Statistics to Statistical Modeling, from Problem Solving to Number Theory, from Computer Programming to Data Mining, the program is also offering a number of optional papers, a few of which are Big Data Analytics, Cryptography and Network Security, and Artificial Intelligence. Besides these, the program also offers summer internship and Project/Dissertation. In summer internship, a student may choose to visit relevant institute or industry according to the availability. The project/Dissertation helps the students to explore and strengthen the understanding of fundamentals through practical application of theoretical concepts.
On completion of the program, a student will
• Be acquainted with the various Statistical tools useful for Data Analysis
• Develop programming skills
• Acquire knowledge on Data Analytics and Data Mining
• Learn the concepts of Data Structures
• Develop a conceptual understanding on Network Security
Eligibility Criteria for the Program:
Graduate student having Statistics/Mathematics/Economics/Physics as compulsory subject, or graduate students in Data Science, or students having a B.Tech. degree in IT/CSE/ECE or BCA or other relevant stream with at least 50% marks are eligible to apply for this course.

Career Prospects:
From careers in IT sector to technological companies, Data Science professionals can choose their career in a numerous field including business, industry, agriculture, government and private sectors, computer science, and software development.
A few job roles available for a student after completion of the program are:
(i) Data Scientist: Data scientists also called analytical experts utilize their skills in both social science and technology to manage all kinds of data. A data scientist involves in arranging and analyzing disorganized and unstructured data, from numerous sources like smart devices, social media feeds, emails, industry, health science, environmental data.
(ii) Data Analyst: The role of a Data Analyst is to figure out a market trend. The data analyst serves as a caretaker for an organization’s data and as such shareholders are able to understand data and use it to make tactical business decisions.
(iii) Statistician: A Statistician deals with gathering, analyzing and interpreting to aid in many businesses and decision-making process. The Statisticians apply statistical models and methods to real-world problems. They analyse, gather and interpret data to help draw valid conclusions.
(iv) Forecasting Analyst: The task of a Forecasting Analyst includes tracking, analyzing, and evaluating operations in order to provide accurate forecasts. Forecasting analysts use current data of the company to predict future level production and sales. By examining inventory levels, demand for products or services, and speed of production, they ascertain a company’s optimal production levels and possible future sales.
(v) Data Manager: Data Manager are involved in making and implementing policies for effective data management, framing management techniques for quality data collection to confirm adequacy, accuracy and validity of data. They are also involved in planning and executing efficient and secure procedures for data management and data analysis with attention to all procedural aspects

Conclusion:
From above discussion we can see that a student with master degree in Statistics and Data Science has numerous career opportunities and so this program is recommended to graduate students seeking for a good career opportunity in the present scenario of the job world.

Digitalization in Marketing Process-A New Skill in Marketing Specialization

Marketing is the process that satisfies human and social needs. It is nothing but a value-creation process. If we look into the marketing process, the job of most marketers is to design and develop the value in such a way that attracts customers and makes them happy buying. But this scenario is changing very rapidly due to the pandemic and the huge development of digital technology. Now market and marketing processes are more digitalized than the conventional marketing system. The job of a salesman is changing to the digital selling process. Marketers need not make a flow-up plan, it is automatically set up by the technology and responses are coming within a specific time. So, the process becomes more hybrid through embarked digitalization in the system. Therefore, it is imperative that using of digital technology in marketing and its associated function is a substitute for marketing success. Looking into this, concept marketers are focusing more on digital expert professionals than the salesman. Due to the huge demand for this, manpower is scarce. This is one part of the other way the process of marketing is also changing. Like the development of promotion strategy, communicate with the customers and find out the most effective methods for approaching customers. Though all these are experience stages, on the other side to get succeed in the fast-paced environment they always look into the audience’s requirements, it is difficult to stay ahead of the audience because market nature is monopolistic.

The recent trend in the Marketing Process:

Mass marketing converted into customized marketing and especially influencer marketing which is more common through digital technology like artificial intelligence, and machine learning, Marketers identify the preference of buying of customers and they try to influence them by offering more customized products. Therefore, targeting an individual is much easier than the conventional process. Development of user-generated content is another tool to identify prospects, it is a technique that allows the customer to design their product, and using digital space marketers publish those products on the web and counts the most effective design out of the available design and makes the product based on these design.  Companies also do marketing through publicize the video content and using web analytics they publish it through various social media like various web pages, Facebook, Twitter, and LinkedIn, and personalizing the email. This video makes confidence the buyer about product information, brand, service, and other components associated with the product. It applies to business to business and business to consumer and both the process learn and evaluate the impact of promotion using video content in social media which makes their marketing promotion faster.   The current market depends on millennials and Gen Z, they are more inclined toward digital process and most of them prefer digital buying process, not only digital buying but also other parts of marketing, they prefer digitalization. Therefore, to enhance their buying power, there is a need for mobile-optimized digital services which may be an important part for business owners and houses who are looking to attract fast-paced tech-savvy generations.

Ephemeral content is a new arena of digital marketing. Here company publishes its information through social media and they always stay on social media through standard posts, videos, and live events. Customer is not able to show the message if they do not save it or achieve it. Therefore, it makes curiosity customers give more concentration on the information. It is an effective platform for marketing campaigns.

Application of Digital Technology in Marketing

 Artificial Intelligence in marketing is mainly developed with the help of three main marketing disciplines research, strategy, and action, and three levels of AI intelligence, that is, mechanical, thinking, and feeling AI. While mechanical AI entails automation of repetitive and routine tasks mainly covering market research, strategy, and standardization, thinking AI relates to processing data for new insights and decision-making, and feeling AI refers to interactions with humans or analyzing human feelings and emotions. Another, important techniques are big data analytics, using these techniques marketers predict the outcome of the customers and it also techniques which help marketers to identify the preference, maintain inventory management, and manage distribution and logistics system. Machine learning is another digitalized technique that helps marketers to do proper market segmentation, it processes customer data and analyzes it for discovering recurring patterns across various features. It helps to do proper clustering of different various demographic segments and helps to measure the preference difference between various demographic segments. Using blockchain analysis marketers maintain the logistics system of the firms and maintain a smooth and faster delivery system. One other important area used by blockchain technology like user verification, Blockchain can be employed through advertisement networks and reduce the interface of agents and middlemen and help those users who want the information by clicking through the ad system and combat fraud. It helps advertisers to identify the source of fraud and advertisers can make more user interface design.

Therefore, digital technology must be not only an effective tool for modern marketing but in the future, it should be the only way for business growth and survival. Most large-scale firms have started their marketing practices and maintain all the marketing processes from taking the order to supplying feedback through digital space. In India, most middle-order firms were trying to adopt the blended process, with a few parts of technology-based and another part traditional because of the nature of Indian consumers. It is a challenging task for a small firm because its market and investment level is low. Therefore, the marketing professionals need to develop some skills that small firms can be benefitted without much more investment. Last but not the list, it can be commented that the traditional skill of marketing will not work for long. Digitalized skills need to learn by the marketing professionals at the time of career selection. Few specialized skills need to be imparted to get a better market understanding.  

Artificial Intelligence in Health Care: A New opportunity to build Career

In lockdown era of Covid-19 outbreak, creates a recession in different working sectors and numerous people lost their jobs in different areas.  After pandemic, new job opportunities have been opened up. Among them, AI in health care is considered as one of the promising one. In the context of covid-19 pandemic there exist shortage of health care personnel and this not fulfilling the diagnosis response at the emergency stage. Integration of AI in health care can be considered as a promising option to overcome the shortage of health care personnel. Now question is that how a computer Engineer can incorporate AI in health care. The applications of AI into health care have been categorized into three groups.

  • Patient-oriented AI
  • Clinical oriented AI
  • Administration and operational Oriented AI

The Patient oriented AI system can directly improve the patient care. According to the report of UK Govt., if the AI-enabled symptoms checker is coupled with the telemedicine technology, reduced number of physicians visits in hospitals. Different Machine Learning and deep learning-based (ML/DL) algorithms have been considered to train the aforementioned AI-enabled symptoms checker system where the several symptoms of the common diseases have been considered as the training data.

 Apart from this, several organizations adopted the chatbot system to improve the patient care. Chatbot is a software program that automatically chat with the patients through text or voice messages. A chatbot system, initially collects information from patients. After analyzing this information using different Computer vision techniques, provides the information regarding the present conditions of the disease as well as, what he will do. In some places, the chatbot systems are not capable of collecting the patients’ information, a wearable device can play an important role. These wearable devices sense the patient’s disease information through some sensors and AI-based methodologies provide the actual conditions of the disease. Another noteworthy fact is that AI can improve the accuracy in disease detection.

 In developing countries like India, the doctor and patient are low and an individual clinician works nearly 14-18 hours in a day. Due to this extensive workload, clinicians may overlook the early sign of the disease. A computer aided diagnosis system (CAD) can assist doctors to detect these symptoms at the early stages. The researchers from University of Calcutta said that their implemented CAD system is capable of detecting lung nodules at early stages which may indicate lung cancer if it is detected at later stages.

Furthermore, AI can also increase the efficacy of the targeted therapy. AI is capable of identifying the accurate effected area of the abnormal tissue. By supervising the effected area through computers, a clinician can provide the drug to the patients.

Apart from the computer vision techniques, the natural language processing (NLP) also improves the clinical outcomes. In daily clinical practice, clinicians often required previous disease history, medications doses and the family history of the disease to prepare appropriate diagnose plan. In health sector, the data are stored in an unstructured manner i.e., the health sector-maintained paper-based work. Due to extensive workload these data may lost. The Electronic Medical Record or EMR is a software where the NLP techniques can store large number of clinical text data in a structured form. In present context, the existing EMR software is very costly. This necessitates the AI-based health care industry to implement a low cost and more accurate EMR tool for improved diagnosis procedures. The Norway based Globus.ai’s AI enabled EMR system shows that it fills clinical data 90% more faster than the human work. Another interesting application of AI in health care is robotic surgery. In this application, different computer algorithms have been automated for different surgeries. However, the general decisions are still taken by the surgeon.  

Beside the clinical outcomes, AI can also improve the patient safety. It has been observed that, several patients suffer from adverse drug effects i.e., the drug is not suited for the patient body. Israel’s MedAware’s patient safety platform considered different ML algorithms to detect and reduce the risk of medication error.

This discussion reveals that to provide improved health care, participation of AI engineers in heal care industry become an inevitable option. This creates huge job opportunities to the engineers.

Applications of Machine Learning in Geography: Present and future trends

Machine learning is one word at present time machine learning can be defined as a system where computers can perform tasks that require human intervention and intelligence. Machine learning is part of artificial intelligence which is growing rapidly in the present era. Artificial intelligence (AI) is the broader umbrella of computer-driven applications where Human support is hardly required. Deep learning is a subset of machine learning. AI is also associated with the development and design of algorithms.  Artificial intelligence and machine learning have reduced the role of humans in many activities Like in industry public affairs research and academia. Geography as a discipline has also benefited from the applications of Artificial Intelligence and machine learning. Geographical information system Remote Sensing and GIScience as a whole get the benefit of machine learning which is termed GeoAI. Different organizations like the American Association of Geographers (AAG) in Environment System Research Institute (ESRI) and Microsoft are collaborating to develop a GeoAI-based platform for the analysis and visualization of different data. 

The advantage of machine learning algorithms lies in the fact that the algorithm can use the data pattern to train itself and come up with better predictive or classification solutions. Machine learning is classified into different groups supervised learning, unsupervised learning, Semi-supervised learning, and reinforced learning.

In recent years automation in geography and location-based study is taking place at a quick pace. Mechanisms to monitor different spheres (terrestrial, atmospheric, and aquatic) are growing at high speed. This leads to a large quantum of data availability of different types and formats. Machine learning is helping to analyze this data using different advanced algorithms like Support vector machine, Random Forest, Artificial neural network (ANN), or even one step ahead deep learning methods like Convolution Neural network (CNN) and dynamic learning methods like Q- Learning.

In the area of human geography, machine learning has been used to explore the distribution of products and goods, population genetics, detecting, characterizing, and evaluating human epidemiology, tourism projections, detecting military patterns, international politics, and agricultural production systems. Within physical geography, ML is used to advance research on environmental diversity, biogeography, and abundance, water resource management, climate modeling, climate change, etc.

In the Geographical Information System (GIS), users can use it to comprehend the spatial elements of their work and connect it to data such as population data. The GIS data can be utilized for a variety of reasons, including transportation, drought analysis, agricultural, disease outbreak analysis, land occupation, and so on. At the same time, GIS enables the storing of a large volume of data in a secure manner, as well as access to it at any time and on a rapid basis. So, the purpose of this chapter is to examine previous works and research in this area to better understand the current status and capabilities; also, it will be an attempt to prepare for future improvements in the field of GIS. 

There are also many challenges faced by machine learning in the part of lack of data and as well as the quality of data. Quality issues in machine learning lead to improper predictions and classification. As the technology is still evolving real-world complexities are sometimes mishandled by the algorithms. Ethical issues are very much prominent in countering human geographical contents. They’re also voids left for spatially explicit machine learning and other spatiotemporal models. This vacuum of Spatio-temporal models hinders the growth of machine learning applications in geography. 

In the future, machine learning will be more robust with advanced GeoAI algorithms which can encounter issues like handling large and complex data. More spatial explicit models and algorithms will be available to provide solutions to complex and multifaceted real-world problems. The emergence of automatic machine learning (AutoML) is showing the path for such a solution. In solving geographical problems of the future integration is required between the conceptualisation and implementation of models. As artificial intelligence has started touching down nearly all spheres of life, machine learning is going to play a key role in unlocking the different mysteries of nature near future.

Post-pandemic professions in Cyber Security

The epidemic caused significant employment losses and layoffs across a variety of sectors, with few or no new positions being filled. However, recruiting has started up again in some industries, which is a sign that the world has moved on from the pandemic.

“The pandemic helped us understand how important it is to digitise our records. Everything, from the job roles itself to the hiring process itself, has been shifted into the virtual platform. According to Ashutosh Seth, founder of Risebird, an edtech company that assists recruiting teams in completing the technical interviewing process, as a consequence, positions have evolved to deal and manage the enormous amount of data that has transferred on cloud platforms.

“There is a significant shortage of qualified candidates for tech positions such as artificial intelligence (AI), machine learning (ML), cyber security (CS), data analyst (DA), and coding developers (coders).” In addition to this, there is also an increase in the demand for people who work in the medical field as well as pharmacists, says he.

During the epidemic, there was a halt to any new employment, and there were even reductions in workforce size and layoffs. It was anticipated that once the pandemic was declared over, there would be an increase in the number of people getting jobs. According to Kamlesh Vyas, Partner at Deloitte India, “unfortunately, we have not seen that happening.” [Citation needed]

“This could be due to a number of factors since a number of businesses have incurred damages that are beyond repair and are unable to backfill their positions.” There aren’t many sectors that are still operating in the watch-and-wait mentality before investing in people. Because of the epidemic, many organisations have gained the ability to function with fewer employees as a result of automation, rationalisation, restructuring, multi-skilling, and other such practises, and thus do not see the need for aggressive hiring. However, according to Vyas, occupations in high-end technologies, such as artificial intelligence, analytics, cyber security, augmented reality/virtual reality, robots, cloud computing, and so on, would continue to be in demand during this period.

The epidemic has also brought to light the significance of developing automated systems. As a direct consequence of this, there is a greater demand for hardware engineers to automate the gear and devices that are already in use. According to Balasubramanian A, Business Head, Consumer and Healthcare, TeamLease Services, the professionals who will be working in the world after the pandemic would need to get themselves ready for the digital world and the more automated sector.

In addition to the obvious desire for IT expertise or occupations driven by technology, he notes that there is a demand for entry-level positions in field sales. These individuals are responsible for bringing the meal to the table. During the shutdown, a large number of businesses were severely disrupted, and many found it difficult to reach their ultimate goals. Now that a lot of businesses are attempting to get back on their feet, make up for any losses, and enhance their market share, those businesses are placing a strong emphasis on employing frontline sales employees.

According to a survey compiled by TeamLease, the average growth in salaries for sales profiles was found to be 7.41 percent, while the growth in salaries for R & D Analyst positions in the Healthcare & Pharmaceuticals industry was reported as 9.39 percent. The report went on to state that the increase in pay for the position of Automation Engineer in Information Technology and Knowledge Services was registered at 10.71 percent.

According to Balasubramanian A., in the world that has been left behind by the epidemic, businesses are now delivering professionals concrete benefits in the form of flexibility in regard to both time and location. Compared to a couple of years ago, when it came to giving in to the expectations of the employers, the businesses have been a lot more accommodating in recent times.

Career as a Machine Learning Engineer in the post-pandemic world

The entire globe has been facing an unprecedented challenge from the Novel Coronavirus, which has made the physical world come to a standstill and the world economy has been holding onto a thread due to this fatal pandemic. But the brighter side of this gloomy situation is that companies are finally appreciating and understanding the significance of Machine Learning and Artificial Intelligence in the practical world. More and more brands are now taking up Machine Learning solutions for their business problems. Not only Machine Learning is used to combat the global pandemic but it has also come out as an important tool in constructing a better world post-COVID. Machine Learning has the capability of providing an understanding and early analysis of problems and prompt resolutions. This technology is used by the doctors and health practitioners to track the virus, identify potential threat to patients and predict the possible cure from disease. These reasons indicate that Machine Learning and Artificial Intelligence, both are here to rule and this can be an interesting career option for the aspirants who are passionate about data and numbers. Machine Learning has been at the forefront for all the advanced programmers who intend to develop intelligent systems that learn and apply knowledge. These programmers, better known as Machine Learning (ML) engineers, train systems with the help of complex datasets and algorithms.

Machine learning brief explanation

Machine Learning is a subset of Artificial Intelligence, which combines Statistics and Computer Science to predict using different mathematical models. The predictive model can be based on like whether an image contains cat or dog, predicting credit card fraud detection etc. The main objective of Machine Learning is to take decisions based on predictive modelling. Hidden patterns across the datasets are extracted and useful insights about data are found out to drive important decisions, improve customer relationship based on feedback patterns or launch new business.

What are the pre-requisites for becoming a Machine Learning engineer?

A Machine Learning engineer requires to be proficient in a bunch of technical skills for building predictive models.

Below are given some of the primary components of the Machine Learning engineer role:

  • Data: The Machine Learning engineer has to understand the importance of data in predictive modelling. The data pre-processing is one of the important steps for constructing a Machine Learning model. Data has to be analysed and described in terms of the problem requirement. Good quality data is a necessary requirement in building efficient Machine Learning model.
  • Predictive Models: Machine Learning engineers need to construct the models designed by the data scientists, understand the model validation in order to get an essence of the estimation of value addition to the business and understand how to fine-tune these models to optimize them for the consumption by end users.
  • Software Engineering: They need to be efficient in coding back-end so that the models can be made available to users through a user-friendly API.
  • Efficient Scaling of Infrastructure: They need to keep the system prepared for scaling of infrastructure so that the system may not collapse when multiple number of users start operating their models.

Where is Machine Learning used in real life?

Machine Learning is being used in real life in many fields, industries or domains. Some of the application areas of Machine Learning are listed below:

  • Image Recognition: It is a popular and widely used application area of Machine Learning. This is used to identify an object from a digital image.

Some of the use-cases of Image Recognition:

  • Photograph-tagging in social media
  • Hand-writing recognition by segregating a single letter into component images
  • Speech Recognition: Machine Learning has the capability of translating speech into text.

Some of the use-cases of Speech Recognition:

  • Voice-based digital assistants like Amazon Alexa or Google Home etc.
  • Search based on voice
  • Dialling based on voice
  • Symptom analysis in healthcare domain: Machine Learning can help the medical practitioners to ascertain symptoms in diseases by leveraging the capability of chat bots. This is called symptom analysis which utilises the power of Natural Language Processing and text mining etc. to analyse the disease symptoms and predict the next steps to be taken as precautionary measures or remedial measures.

Primary objectives of a Machine Learning Engineer

Primary responsibilities of a Machine Learning engineer lies in creation of Machine Learning models and re-training models as and when required. Some of the common responsibilities of the role relate to:

  • Machine Learning system design
  • Implementation of Machine Learning algorithms and tools
  • Dataset selection and dataset representation methods
  • Verification of data quality
  • Accomplishing statistical analysis
  • Executing Machine Learning tests
  • Improving Machine Learning models by tuning of models by proper selection of hyper-parameters
  • Constructing Machine Learning apps as per requirement

Now, let us see the skill sets that are important for a Machine Learning Engineer.

Skill set of a Machine Learning Engineer

For becoming a Machine Learning Engineer, an aspirant should have the following skills:

  • Mathematical and statistical skills relating to subjects such as Calculus, Linear Algebra, Statistics etc.
  • Advanced degree in Computer Science, Mathematics, Statistics or a related degree
  • Master’s degree is desirable in Machine Learning, Deep Learning or related fields
  • Coding in programming languages like Python, R etc.
  • Skills pertaining to Software Engineering, Computer Architecture, Data Science and the like
  • Working experience with Machine Learning packages and libraries etc.

References:

  1. Rise in the demand for Machine Learning & AI skills in the post-COVID world, https://timesofindia.indiatimes.com/spotlight/rise-in-the-demand-for-machine-learning-ai-skills-in-the-post-covid-world/articleshow/75464397.cms
  2. Machine learning engineer (ML engineer), https://www.techtarget.com/searchenterpriseai/definition/machine-learning-engineer-ML-engineer#:~:text=Machine%20learning%20engineers%20design%20and,data%20engineers%20and%20data%20architects.
  3. AI/ML Remains The Most In-Demand Tech Skill Post COVID, https://analyticsindiamag.com/ai-ml-remains-the-most-in-demand-tech-skill-post-covid/
  4. AI, Automation and In-Demand Skills for a Post-Pandemic World, https://www.sigconsult.com/blog/2021/03/ai-automation-and-in-demand-skills-for-a-post-pandemic-world?source=google.co.in
  5. Artificial Intelligence in a post-pandemic world of work and skills, https://www.cedefop.europa.eu/en/news/artificial-intelligence-post-pandemic-world-work-and-skills

Significance of Computer Science Engineering in a COVID-19 infested Era

Ever since the outbreak of COVID-19 or the novel coronavirus from December 2019 till date, the whole world is adversely impacted by the induced pandemic which has forced on every form of the established system, a drastic change in the day-to-day lives of the people belonging to different strata of the society. The socio-economic setup that was prevalent throughout the world, is already significantly shattered, and hence calls for the conceiving as well as establishing a new system wherein the various functionalities may ensure the smooth and orderly execution of different aspects of the human society can be reinstated keeping in mind the robustness of this system against a pandemic like situation such as these.

This COVID-19 infested pandemic has exposed major loopholes and faulty perceptions regarding the various domains like, healthcare sector, financial institutions & bodies, educational establishments, research & developments bodies as well as public welfare organizations, as a result of which the whole world community stands not just clueless but also helpless in grappling with the current catastrophe.

a) Impact of Covid on the domain

The viral outbreak at a massive global scale has forced governments across the world to impose hard lockdowns and travel restrictions thereby compelling the shutdown of offices that offer varied services related to several sectors. Furthermore, at an individual level, people need to maintain a safe distance and be physically covered (especially facial areas) at maximum times when outside. This has invariably impacted interpersonal communication greatly.

Considering all the above factors, a computer/smartphone device, internet connectivity and a relatively stable power supply has come to the rescue of people in many ways. Professionals associated with the computer science & engineering domain are able to maintain various sorts of data in large bulks securely and meticulously with the help of different technologies. Furthermore, with the advent and development of the internet infrastructure, an abundance of virtual space can be created and managed for warehousing these data. Various applications are these days widely used via handheld devices to serve day-to-day purposes like product or food delivery, cab or train booking, hotel booking, seat reservation at any event, online academic courses, online mails, messaging and meeting and so on.

With this current pandemic prevailing all over, the usage of the above online applications is greatly amplified as these software-based utility tools are proving to be beneficial in running the various sectors simply while sitting at home. More and more people are continually seeking online services and demanding applications that will make it possible in every way to handle various business or commercial activities, smoothen the functioning of the education and healthcare sector and providing real-time support to travel as well as transport services. Even in the entertainment industry and also crime investigation & forensics, complex application development with easy user-friendly outlooks are ever-growing.

In short, the computer science & information technology domain has invariably become even more lucrative, prospective and ever-growing field as the pandemic has forced majority of the services to go “online”. Interestingly, a number of professions has by this time become obsolete and many individuals lost their jobs except for some cases such as this domain. These days the most important and valued element is data on various things and this data is available in such large quantities that it needs organized storage and management. While attempting to find a robust and effective solution to the COVID-19 virus, several amounts of data are being recorded and used. Efficient handling and accessing of such data is thus necessitated which is realized by the applications developed by various professionals who are experts in the computer science field.

b) New trends

As mentioned earlier, several sectors across the world are either closed down or grappling to survive by somehow managing to lift their face up the troubled waters of the pandemic crisis. An interesting trend of relying on online services is being noticed among such sectors.

Education: With almost all academic institutions physically shut down, this sector has shifted to online mode of admission, lecture delivery, examination conduction, assignment delivery, subject-wise note sharing and student evaluation. These activities require the support of some multimedia-enabled devices having a camera, microphone and speaker, online document preparing web services, and virtual (cloud-based) storage space. There has emerged a vogue of online coaching and academic preparation via the use of mobile apps like Byju’s Classes, Unacademy and so on which have reduced the dependency on availing tutors. Altogether, all these necessitate the development of software-based applications that require the expertise of domain professionals.

Healthcare: Currently as the majority of the professionals in this sector are the frontline ‘warriors’ in this battle against the pandemic, naturally, they are highly exposed and vulnerable to the COVID-19 virus attack. Despite the extreme precautions taken, most of them even are losing their lives to this deadly virus given the highly contagious environment they are working in. This has led to a fear of psychosis among the general public to avoid visiting the doctors and other medical professionals for a routine health checkup.  As a result, the growing demand for online health checkup from home has led many software and app developers to build such dedicated applications that aid in routine healthcare and delivery of medicines. Some of the prominent apps operating in India are DoctorOnDemand and PharmEasy.

Business, Commerce, Banking & Industry: Several commercial and industrial workplaces are physically shut thereby causing losses and job cuts. A growing need has propped up for automation of industrial machinery and online support to various financial services as well as transactions, remote ordering, selling and purchasing, delivery of items. Some of these applications are realized by popular app services like Yono app (State bank of India), PolicyBazaar, Amazon, Flipkart, Paytm, Myntra.

c) Areas of research

Unlike other domains where research and development include extensive needs for laboratory or enterprise-level facilities and field works, pursuing research in the computer science domain requires just three things at home: a good quality computer system/workstation, internet connection and access to research-level online repositories. There are several open-source development tools that can be downloaded and utilized for effective research. Some of the major domains where computer science has pervaded are Medical science, genetics & genomics, microbiology, transport technologies, core industrial & engineering, basic sciences. Researchers under this domain by sheer knowledge of Artificial Intelligence, Data Science, Machine Learning and Deep Learning are gradually succeeding in presenting automated models for determining the nature and spread of the COVID-19 virus. Although the concept of Artificial Intelligence is not new (coined in 1956 by John McCarthy), the extensive development and the need for massive automation across several fields has uplifted the status of this concept that has led to enhanced research in Artificial Intelligence, Data Science, Machine Learning and Deep Learning. In short, a professional equipped with such domain knowledge easily feels valued and almost indispensable across several multi-disciplinary fields.

School of Engineering and Technology: Striding with Excellence

The School of Engineering and Technology (SOET) at Adamas University is esteemed for its high-end delivery of engineering education, robust infrastructure in the form of well-equipped laboratories with equipment and courses designed for the holistic development of an individual. SOET had ranked among the top Engineering schools in Bengal and East India in the Times Engineering Survey 2019.

The School has an enormous experience in imparting engineering education and has six Departments: Computer Science and Engineering, Electronics and Communication Engineering, Mechanical Engineering, Electrical Engineering, Civil Engineering, and Bio-Medical Engineering. The School currently offers B.Tech, BCA, B.Sc in Computer Science, MCA, M.Tech and Doctoral Programs. Apart from the regular UG and PG programs offered by the School, new cutting edge specialized and new generation programs were introduced in the year 2020 in emerging areas like Artificial Intelligence and Machine Learning (AI/ML), IoT and Embedded Systems, Gaming and Animation, Cyber Security and Forensics and Robotics. The School emphasizes on the development of competent skills among its students in order to make them industry ready. To achieve this objective, the Specialization programs are clubbed with Project Based Learning in big ticket areas like Autonomous Electric Vehicles, Aerial Robotics, Smart City, Design Thinking, etc.

The Project based study approach is accomplished through the following innovative techniques:

  1. Beautiful Mind: It is a parallel learning system in which the students learn all by themselves. Here the resources for learning the technical concepts are the laboratories with equipment, library and internet facility only. The learning is based on the development of projects in a specific domain. This helps the students to learn outside their curriculum.
  2. Design Thinking: This module focuses on innovative methods where students get to learn about various technologies, how to implement them and execute those in real life. It helps to nurture the thinking power of students and lead them to implement innovative ideas for solving the real world problems.
  3. Capstone Projects: These projects have to be undertaken by the students as a part of their curriculum in their academic degree program. They have to choose one of the projects namely Autonomous Electric Vehicle, Smart City, Aerial Robotics, where they learn both the theoretical base of these emerging technologies and hands-on knowledge for implementation.
  4. EQ Labs: Managing one’s emotions while dealing with a group of team members in an organization is of utmost importance. Emotional quotient plays a major role along with Intelligence quotient in grooming a successful manager. This subject covers study of Communication and Collaboration skills, Leadership skills, etiquette and body language etc.
  5. Center of Bio-Computing: This center has been set up mainly for the development of collaborative research or inter-disciplinary research. It provides training in Bio-Computing and support for Bio-Computing projects running under Adamas University.
  6. Center of Waste to Wealth: This center caters to the study of techniques involved in effective waste management to protect our environment and paving the way towards a greener future.

Now, let us have a glimpse of the Programs offered by the various Departments at School of Engineering and Technology at present.

  • The Department of Computer Science and Engineering (CSE): The Computer Science and Engineering Department offers the following academic programs of study:
  • Bachelor of Technology (B.Tech) in CSE: It is a four year graduation degree program. Here the program covers core and applied courses in Computer Science. The core subjects include subjects such as Programming, Algorithms, Compiler etc. and applied courses such as Artificial Intelligence, Cyber Security, Deep Learning etc.

There are three Specialization programs offered under the category of B.Tech in CSE:

  • Bachelor of Technology (B.Tech) in Computer Science and Engineering (CSE) with Specialization (Hons.) in Artificial Intelligence and Machine Learning (AI/ML)
  • Bachelor of Technology (B.Tech) in Computer Science and Engineering (CSE) with Specialization (Hons.) in Cyber Security & Forensics and
  • Bachelor of Technology (B.Tech) in Computer Science and Engineering (CSE) with Specialization (Hons.) in Blockchain

The above mentioned Specialization programs cover the study of advanced subjects in the niche areas, hands-on learning in well-equipped laboratories and opening up of attractive job roles.

  • B.Sc in Computer Science: It is a three year graduation degree program. In this program, the primary focus is on delivering the core theoretical and practical aspects of Computer Science. The subjects covered range from Programming languages, Data Structures, Computer Networks and advanced subjects of Artificial Intelligence and Internet of Things etc.
  • Bachelor of Computer Application (BCA): It is a three year graduation degree program. Here the program covers core courses of Data Structures, Python Programming, Operating System, Computer Networks etc. The program equips students with Professional skills of Web Designing also. This program also has two specialized streams:
    • BCA with Specialization in Gaming and Animation: This new generation Specialization program offers a perfect blend of core Computer Application and Gaming and Animation. Courses such as Game Development-I and II, Drawing for Animation etc. are offered in the curriculum.
    • BCA with Specialization in Banking, Financial Services and Insurance: This is yet another new generation Specialization program which offers specialized courses of Financial Accounting, Banking and Economy etc.
  • Master of Computer Application (MCA): It is a two year post graduation degree program. Here the students are imparted knowledge and competent skills in Programming, Data Structures, Mobile App development, etc. and a basket of electives such as Artificial Intelligence and Machine Learning, Fundamentals of Cloud Computing, Game Design and Cloud Storage etc. are offered in the final year of study.
  • Master of Technology (M.Tech) in CSE: It is a two year post graduation degree program. The students would learn about the most advanced courses of CSE, paving the path for research and other challenging job roles in Machine Learning, Data Science etc.
  • The Department of Electronics and Communication Engineering (ECE): The Electronics and Communication Engineering Department offers the following academic programs of study:
  • Bachelor of Technology (B.Tech) in ECE: It is a four year graduation degree program. Here the program covers the courses in such a way that it encompasses the entire GATE curriculum. Some of the courses taught here are Digital Electronics, Microprocessor and Microcontroller among many others.

There are three Specialization programs offered under the category of B.Tech in ECE:

B.Tech with Specialization (Hons.) in Robotics, B.Tech with Specialization (Hons.) in IoT and Embedded System and B.Tech in ECE with Specialization (Hons.) in Electric Vehicles Engineering. These programs offer the knowledge and competency in cutting edge technologies which equip students with profound skills in these niche areas.

  • Master of Technology (M.Tech) in ECE: It is a two year post graduation degree program which equips students to learn about advanced fields of communication and VLSI etc. It offers two areas of Specialization programs: M.Tech in VLSI Design and M.Tech with Specialization in IoT and Embedded System. These programs emphasize on imparting technical and advanced skills in the Specialization areas.
  • The Department of Mechanical Engineering (ME): The Mechanical Engineering Department offers the following academic programs of study:
  • Bachelor of Technology (B.Tech) in ME: It is a four year graduation degree program. The course curriculum has been designed as per the recommendation of Industry Personnel. It covers courses such as Engineering Mechanics, Machine Drawing etc. The Lab infrastructure is robust and equipped with new and modern tools and equipment for experimentation.

There are two Specialization programs offered under the category of B.Tech in ME:

B.Tech in ME with Specialization (Hons.) in Design Engineering, which emphasizes on aspects of Design in System Engineering, Manufacturing and Engineering Management.

B.Tech in ME with Specialization (Hons.) in Electric Vehicles Engineering, which emphasizes on aspects of design and manufacturing of electric vehicles.

  • Master of Technology (M.Tech) in ME: It is a two year post graduation degree program. The customized curriculum is inspired by the programs of well-repute offered in universities across the globe.

There is one Specialization program offered under the category of M.Tech in ME:

M.Tech in Design Engineering, which has been designed as per the recommendations of National Design Policy and Indian Design Council encompassing Design enabled Indian industry.

  • The Department of Electrical Engineering (EE): The Electrical Engineering Department offers the following academic programs of study:
  • Bachelor of Technology (B.Tech) in EE: It is a four year graduation degree program. It offers the aspirants the knowledge on electrical components, devices and systems. It offers stress on special thrust areas such as Electrical Machines and Power Systems, etc. along with related hands-on knowledge.

There are two Specialization programs offered under the category of B.Tech in EE:

B.Tech in EE with Specialization (Hons.) in Sustainable Energy, which imparts knowledge about sustainable energy to build budget-friendly wind turbines and solar panels.

B.Tech in EE with Specialization (Hons.) in Electric Vehicles Engineering, which emphasizes on aspects of design and manufacturing of electric vehicles.

  • Master of Technology (M.Tech) in Power and Energy Systems: It is a two year post graduation degree program. The well-designed curriculum focuses on concepts and systems related to electric power and energy.
  • The Department of Civil Engineering (CE): The Department of Civil Engineering offers the following academic programs of study:
  • Bachelor of Technology (B.Tech) in CE: This 4 year graduation degree program offers all the relevant courses as per the industry requirement and it is designed with a great intention of fabricating prominent engineers who are competent and committed to the high professional standards in the arena of engineering and technology. It is embracing of structural Design & Analysis, surveying, geotechnical, environmental, water resource and irrigation, transportation etc. This is basic to any kind of construction as industrial, commercial, residential in general.
  • B.Tech in CE with Specialization (Hons.) in Smart Infrastructure Management: By seeing the current days’ requirement in society, the Department of Civil Engineering has introduced this specialized program that consist of all modernized courses related to Civil Engineering. The courses are as Rural and Urban Planning, Intelligent waste management, Smart materials and infrastructure, Artificial Intelligence in Infrastructure, Intelligent Transportation System.
  • Master of Technology (M.Tech) in Structural Engineering: Civil Engineering is generally well known for structure and construction. Candidates, who will enroll this course, during 2 years of this program, get awareness about the materials used to design structure and educate individuals on superior concepts of structural engineering through projects and dissertation effort.
  • Master of Technology (M.Tech) in Environmental Engineering: Students who are fond of advanced course that focus on Environmental challenges and remedial measures can opt this program for 2 years. This program is mainly designed for waste management, Water, Air and Noise pollutions, renewable energy and sustainable development. Research and Development sector mainly recruits candidates from this specialization.
  • Master of Technology (M.Tech) in Construction Engineering and Management: This professional discipline covenants with the designing, planning, construction, and management of infrastructures. Planning with time management skills is compatible to each other that can helpful to complete a task within time bound. By this specialization, student acquires both Engineering and Management skills.
  • The Department of Bio-Medical Engineering: The Bio-Medical Engineering Department offers the following academic program of study:

Bachelor of Technology in Bio-Medical Engineering: It is a four year graduation degree program. It imparts knowledge on sought after courses of Mathematical Biology, Biochemistry etc. The Computing laboratories are well-equipped with essential software tools and interfacing kits. It offers career paths in computer-assisted surgery, cellular and tissue engineering, orthopedic engineering etc.

Apart from the above mentioned programs, Minor Programs and Doctoral programs are also offered by the departments at SOET. All the programs have been designed according to the needs of industry and based on emerging technologies to match up to the high-end job profiles. The aspirants have a plethora of options to choose from the above well-crafted programs and to be a part of the SOET family. It is the perfect destination for bright future and career building of the aspirants.