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.
