M.Sc.Tech (Statistics and Data Science)

M.Sc.Tech (Statistics and Data Science) Program

Introduction to the Programme:

Data science is one of the fast growing field in industry as well as academia. The M.Sc. (Tech.) in Statistics and Data Science programme aims to produce postgraduates with specialized in data science. The present program will provide opportunity to develop practical skill sets. The student will also develop an in-depth understanding related to core concepts of Statistics, computer science and Data Science with their applications. The programme also emphasis of rigorous statistical theory with wider hands-on practical experience of applying statistical models to data along with  understanding of statistical inferences, time series analysis and their application in data analysis using statistical software R.

                        With increasing understanding the key concepts of machine learning and artificial intelligence and their use in this modern era with application of data science in the field of cyber security and medical science this programme provide a blending learning in interdisciplinary course. The programme also enhance the ability to formulate suitable statistical models for new problems, fit these models to real data and correctly interpret the results.

Programme Educational Objective (PEO):

PEO 01: Graduates will equip with knowledge and understanding of statistical theory and its applications within data science.

PEO 02: Graduate will equip with the ability to implication of application in the statistical and data science field.

PEO 03: Graduates of this programme will establish as effective professionals by learning technical skills in Data Science field.

PEO 04: Students will gain proficiency in using statistical software R for data science.

Programme Outcome (PO):

PO 01: Academic Excellence: Understand the basic concepts, fundamental principles and the scientific theories related to Statistics and Data Science.

PO 02: Contextualized Understanding: Ability to absorb and understand the abstract concepts that lead to various advanced theories in mathematics and Statistics.

PO 03: Research and Analysis: Students will be acquainted with various research opportunities in the area of Statistics and Data Science both at home and abroad

PO 04: Problem Solving Skills: Ability in modelling and solving problems by identifying and employing the appropriate existing theories and methods.

PO 05: Modernization and Tools Usage: Acquire the skills in handling statistical tools and programming towards problem solving and solution analysis in Data Science, AI machine and enveloping applications for real world problems.

PO 06: Societal Implication: Understand the role of statistics in the society and apply the same to solve the real-life problems for societal and environmental concerns.

PO 07: Environment and Sustainability: Understand the significance of preserving the environment towards sustainable development.

PO 08: Ethics: Continue to enhance the knowledge and skills in applied statistics and data analytics for constructive activities and demonstrate highest standards of professional ethics.

PO 09: Individual and Team Work: Use the research-based knowledge, and machine learning techniques to analyse and solve advanced problems in data sciences through individual and group projects related to the field of Statistics and data science

PO 10: Communication: Develop various communication skills such as reading, listening, and speaking which will help in expressing ideas and views clearly and effectively.

PO 11: Leadership Skills: Understand the scientific and management principles and apply these to one’s own work, as a member/ leader in a team to manage projects and multidisciplinary research environments.

PO12: Life Long Learning: Students will be proficient in statistical analysis of data, building and assessment of different statistical models, handle statistical programming software, data management and using the concepts of statistics in real life context.

 

Programme Specific Outcome (PSO):

PSO 01: Equip graduates with analytics and problem solving techniques.

PSO 02: Graduates will get sustainable development by using mathematical and Statistical tools.

PSO 03: Focus on statistical and data science and its applications.

PSO 04: Graduate will Capable to design and conduct experiments, as well as analyze and interpret data.

Programme Eligibility:

Minimum 50% Aggregate in 10 +2 or equivalent from any recognized board and Minimum 50% aggregate in Undergraduate degree in any discipline from any recognised University in India or abroad in respective subject

Career Avenues:

  1. It is being a multidisciplinary subject with interdisciplinary applications.
  2. There is scope as Statistician, Data Scientist, Data Analyst, Data Manager, Data Engineer.
  3. Scope in possible domains where students can venture out are in vogue.
  4. Typical employers include different public and private sectors like data management firms.
  5. On completion of the programme, one can opt for becoming an entrepreneur in data science.
  6. After completing this degree, one can also opt for teaching jobs in colleges or universities.
M.Sc.Tech (Statistics and Data Science)

M.Sc.Tech (Statistics and Data Science) Program

Introduction to the Programme:

Data science is one of the fast growing field in industry as well as academia. The M.Sc. (Tech.) in Statistics and Data Science programme aims to produce postgraduates with specialized in data science. The present program will provide opportunity to develop practical skill sets. The student will also develop an in-depth understanding related to core concepts of Statistics, computer science and Data Science with their applications. The programme also emphasis of rigorous statistical theory with wider hands-on practical experience of applying statistical models to data along with  understanding of statistical inferences, time series analysis and their application in data analysis using statistical software R.

                        With increasing understanding the key concepts of machine learning and artificial intelligence and their use in this modern era with application of data science in the field of cyber security and medical science this programme provide a blending learning in interdisciplinary course. The programme also enhance the ability to formulate suitable statistical models for new problems, fit these models to real data and correctly interpret the results.

Programme Educational Objective (PEO):

PEO 01: Graduates will equip with knowledge and understanding of statistical theory and its applications within data science.

PEO 02: Graduate will equip with the ability to implication of application in the statistical and data science field.

PEO 03: Graduates of this programme will establish as effective professionals by learning technical skills in Data Science field.

PEO 04: Students will gain proficiency in using statistical software R for data science.

Programme Outcome (PO):

PO 01: Academic Excellence: Understand the basic concepts, fundamental principles and the scientific theories related to Statistics and Data Science.

PO 02: Contextualized Understanding: Ability to absorb and understand the abstract concepts that lead to various advanced theories in mathematics and Statistics.

PO 03: Research and Analysis: Students will be acquainted with various research opportunities in the area of Statistics and Data Science both at home and abroad

PO 04: Problem Solving Skills: Ability in modelling and solving problems by identifying and employing the appropriate existing theories and methods.

PO 05: Modernization and Tools Usage: Acquire the skills in handling statistical tools and programming towards problem solving and solution analysis in Data Science, AI machine and enveloping applications for real world problems.

PO 06: Societal Implication: Understand the role of statistics in the society and apply the same to solve the real-life problems for societal and environmental concerns.

PO 07: Environment and Sustainability: Understand the significance of preserving the environment towards sustainable development.

PO 08: Ethics: Continue to enhance the knowledge and skills in applied statistics and data analytics for constructive activities and demonstrate highest standards of professional ethics.

PO 09: Individual and Team Work: Use the research-based knowledge, and machine learning techniques to analyse and solve advanced problems in data sciences through individual and group projects related to the field of Statistics and data science

PO 10: Communication: Develop various communication skills such as reading, listening, and speaking which will help in expressing ideas and views clearly and effectively.

PO 11: Leadership Skills: Understand the scientific and management principles and apply these to one’s own work, as a member/ leader in a team to manage projects and multidisciplinary research environments.

PO12: Life Long Learning: Students will be proficient in statistical analysis of data, building and assessment of different statistical models, handle statistical programming software, data management and using the concepts of statistics in real life context.

 

Programme Specific Outcome (PSO):

PSO 01: Equip graduates with analytics and problem solving techniques.

PSO 02: Graduates will get sustainable development by using mathematical and Statistical tools.

PSO 03: Focus on statistical and data science and its applications.

PSO 04: Graduate will Capable to design and conduct experiments, as well as analyze and interpret data.

Programme Eligibility:

Minimum 50% Aggregate in 10 +2 or equivalent from any recognized board and Minimum 50% aggregate in Undergraduate degree in any discipline from any recognised University in India or abroad in respective subject

Career Avenues:

  1. It is being a multidisciplinary subject with interdisciplinary applications.
  2. There is scope as Statistician, Data Scientist, Data Analyst, Data Manager, Data Engineer.
  3. Scope in possible domains where students can venture out are in vogue.
  4. Typical employers include different public and private sectors like data management firms.
  5. On completion of the programme, one can opt for becoming an entrepreneur in data science.
  6. After completing this degree, one can also opt for teaching jobs in colleges or universities.

M.Sc. Mathematics

M.Sc. (Applied Mathematics) Program

Introduction to the Programme:

The program Masters in Applied Mathematics is a beginning step towards both Industry as well Academic/research career. For students who have completed their graduation with Mathematics as core subject, and who want to pursue their career as an academician in the field of Mathematics, this programme should be the very next logical step. After completion of this programme a student may acquire in depth theoretical knowledge of analyzing logical arguments to prove mathematical concepts and ability to critically evaluate theories, methods, principles, and applications of pure and applied science.

  This programme brings fundamental computer knowledge of computer science that will be gained parallel to Mathematics. The adequate computer knowledge which will make them industry friendly. Work in teams on multi-disciplinary projects in research organizations and industries during Summer Internships in various industries and reputed Research Organizations will help the students to think outside the box and ignite the young minds with scientific inquisitiveness. Inclusion of Projects, Dissertations, Seminars on Contemporary Research in Mathematics.

Programme Educational Objective:

PEO 01: Graduate will have ability to pursue and undertake inter-departmental research activity in institutes of higher learning.

PEO 02: Empower graduate to recognize the need for and the skill to engage in life-long learning

PEO 03: Graduate will equip with knowledge, skills and understanding in mathematics and computer science and related fields

PEO 04: Enrich graduates with integrity, social and ethical values as a responsible citizen to help to sustain the society.

Programme Outcome:

PO 01: Academic Excellence: Apply basic concepts and knowledge of applied mathematics as it is an essential part in many fields such as engineering, social science, finance and natural science.

PO 02: Quantitative Aspects: Develop idea of counting, measurement, systematic study of shapes and motions of physical object through abstraction and logic.

PO 03: Research and Analysis: Investigate various problems arises in real life and figure out ways to solve with detail analysis.

PO 04: Creative, Critical Thinking and Problem Solving Skills: Identify, formulate and solve scientific problems based on design, experiment, data interpretation and analysis of results.

PO 05: Modernization and Tools Usage: Learn to use modern mathematical tools to solve many problems related to various field of study.

PO 06: Ethics: Understand ethical principle, responsibly and norms in the society.

PO 07: Societal Implication: Analyze complex social elements, their interrelation and its impact on geographically different society and contribute with reliable solutions.

PO 08: Communication: Communicate effectively in both written and verbal way.

PO 09: Individual and Team Work: Work as an individual or in teams on multi-disciplinary projects in research organizations, industries and participate in academic discussion.

PO 10: Leadership Skills: Undertake a major, individual, mathematics-related project and discuss the results in a full scientific report with a presentation.

PO 11: Innovation and Entrepreneurship: Build interest in mathematical innovations interacting with scientific community and run educational institutes for benefit to the society.

PO12: Life Long Learning: Understand concepts and strategies behind mathematical and non-mathematical context through life-long learning to improve knowledge, skills and competency.

Programme Specific Outcome:

PSO 01: Understand applications and various fields of applied mathematics

PSO 02: Construct mathematical model to figure out solutions of real-life problems

PSO 03: Get exposure in research world, educational institutes, govt./private organizations

PSO 04: Get industrial/ academia exposure through the internship in industry/ renowned institute.

PSO 05: Develop research oriented skills in terms of project/ dissertation

Programme Eligibility:

Minimum 50% aggregate in 10 +2 or equivalent from any recognized board and Minimum 50% aggregate in Undergraduate degree in any discipline from any recognised University in India or abroad in respective subject

Duration (in Year): 2

Career Avenues:

  • It is being a multidisciplinary subject with interdisciplinary applications.
  • Students can appear for NET, GATE, SLET or competitive examinations that will give the option for sponsored research.
  • Candidates may pursue M.Tech. in the field of Computer Science and Engineering.
  • Students can choose to work as a member of research teams in statistical and data collection organizations, meteorology, IT, aerospace and bioinformatics.
  • Educator in School Level
  • Administrative Jobs in different Government sectors
  • After acquiring higher degrees, one can also opt for teaching jobs in colleges or universities.
M.Sc. (Applied Mathematics)

M.Sc. (Applied Mathematics) Program

Introduction to the Programme:

The program Masters in Applied Mathematics is a beginning step towards both Industry as well Academic/research career. For students who have completed their graduation with Mathematics as core subject, and who want to pursue their career as an academician in the field of Mathematics, this programme should be the very next logical step. After completion of this programme a student may acquire in depth theoretical knowledge of analyzing logical arguments to prove mathematical concepts and ability to critically evaluate theories, methods, principles, and applications of pure and applied science.

  This programme brings fundamental computer knowledge of computer science that will be gained parallel to Mathematics. The adequate computer knowledge which will make them industry friendly. Work in teams on multi-disciplinary projects in research organizations and industries during Summer Internships in various industries and reputed Research Organizations will help the students to think outside the box and ignite the young minds with scientific inquisitiveness. Inclusion of Projects, Dissertations, Seminars on Contemporary Research in Mathematics.

Programme Educational Objective:

PEO 01: Graduate will have ability to pursue and undertake inter-departmental research activity in institutes of higher learning.

PEO 02: Empower graduate to recognize the need for and the skill to engage in life-long learning

PEO 03: Graduate will equip with knowledge, skills and understanding in mathematics and computer science and related fields

PEO 04: Enrich graduates with integrity, social and ethical values as a responsible citizen to help to sustain the society.

Programme Outcome:

PO 01: Academic Excellence: Apply basic concepts and knowledge of applied mathematics as it is an essential part in many fields such as engineering, social science, finance and natural science.

PO 02: Quantitative Aspects: Develop idea of counting, measurement, systematic study of shapes and motions of physical object through abstraction and logic.

PO 03: Research and Analysis: Investigate various problems arises in real life and figure out ways to solve with detail analysis.

PO 04: Creative, Critical Thinking and Problem Solving Skills: Identify, formulate and solve scientific problems based on design, experiment, data interpretation and analysis of results.

PO 05: Modernization and Tools Usage: Learn to use modern mathematical tools to solve many problems related to various field of study.

PO 06: Ethics: Understand ethical principle, responsibly and norms in the society.

PO 07: Societal Implication: Analyze complex social elements, their interrelation and its impact on geographically different society and contribute with reliable solutions.

PO 08: Communication: Communicate effectively in both written and verbal way.

PO 09: Individual and Team Work: Work as an individual or in teams on multi-disciplinary projects in research organizations, industries and participate in academic discussion.

PO 10: Leadership Skills: Undertake a major, individual, mathematics-related project and discuss the results in a full scientific report with a presentation.

PO 11: Innovation and Entrepreneurship: Build interest in mathematical innovations interacting with scientific community and run educational institutes for benefit to the society.

PO12: Life Long Learning: Understand concepts and strategies behind mathematical and non-mathematical context through life-long learning to improve knowledge, skills and competency.

Programme Specific Outcome:

PSO 01: Understand applications and various fields of applied mathematics

PSO 02: Construct mathematical model to figure out solutions of real-life problems

PSO 03: Get exposure in research world, educational institutes, govt./private organizations

PSO 04: Get industrial/ academia exposure through the internship in industry/ renowned institute.

PSO 05: Develop research oriented skills in terms of project/ dissertation

Programme Eligibility:

Minimum 50% aggregate in 10 +2 or equivalent from any recognized board and Minimum 50% aggregate in Undergraduate degree in any discipline from any recognised University in India or abroad in respective subject

Duration (in Year): 2

Career Avenues:

  • It is being a multidisciplinary subject with interdisciplinary applications.
  • Students can appear for NET, GATE, SLET or competitive examinations that will give the option for sponsored research.
  • Candidates may pursue M.Tech. in the field of Computer Science and Engineering.
  • Students can choose to work as a member of research teams in statistical and data collection organizations, meteorology, IT, aerospace and bioinformatics.
  • Educator in School Level
  • Administrative Jobs in different Government sectors
  • After acquiring higher degrees, one can also opt for teaching jobs in colleges or universities.

ELECTIVE PAPERS:

Students are required to study THREE Elective Papers from the following list of electives during semester III and IV. The list of the electives are given below:

List of Elective Papers

Electives

Paper Name

Paper Code

Credit

L-T-P

 

 

 

Elective I

Computational Number theory with Python

MTH21059

3

3-0-0

Computational Number theory with Python Lab

MTH22060

2

0-0-3

Data Analysis Methods in Physical Oceanography

SDS21044

3

3-0-0

Data Analysis Methods in Physical Oceanography Lab

SDS22045

2

0-0-3

Database Management System

CSE21745

3

3-0-0

Database Management System Lab

CSE22746

2

0-0-3

Object Oriented Programming

CSE21752

3

3-0-0

Object Oriented Programming Lab

CSE22753

2

0-0-3

Machine Learning and Applications

SDS21058

3

3-0-0

Machine Learning and Applications Lab

SDS22059

2

0-0-3

 

 

 

 

 

 

Elective  II and III

 

 

Fuzzy Set Theory with Applications

MTH21061

4

4-0-0

Finite Element Method: Theory and Applications

MTH21062

4

4-0-0

Fluid Dynamics

MTH21063

4

4-0-0

Mathematical Hydrology

MTH21064

4

4-0-0

Mechanics

MTH21065

4

4-0-0

Mathematical Methods

MTH21066

4

4-0-0

Dynamical System

MTH21067

4

4-0-0

Cryptography and Network Security

CSE21747

4

4-0-0

Information and Coding Theory

CSE21748

4

4-0-0

Advanced Graph Theory

MTH21068

4

4-0-0

Mathematical Modelling in Bio-Sciences

MTH21069

4

4-0-0

Application of Module Theory

MTH21070

4

4-0-0

B.Sc. (Hons.) in Statistics and Data Analytics

B.Sc. (Hons) in Statistics and Data Analytics

Introduction to the Program:

This course has been frame out on the based on fundamental of Statistics and its use in data analytics with the aim that student under this course enriched by the core of modern data analytics that turn data into intelligence to inform decision-making and solve challenging problems. Applications range from economics and medicine, to social and environmental sciences. This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analyzing and interpreting real data required in the economy, industry and research. The early years of the degree cover basic mathematics, probability and statistics. The final years focus on advanced specialist topics in statistical modelling, data science, machine learning, probability and stochastic processes.

Program Educational Objective:

PEO 01: Graduate will equip with latest techniques in Data Analytics like Python, Machine learning, Big Data etc.

PEO 02: Graduates will able to choose their course as a training ground to develop their positive attitude and skills.

PEO 03: Graduates of the program will become technically competent to pursue higher studies.

PEO 04: Graduates are prepared to survive in rapidly changing technology and engage in life-long learning.

PEO 05: Graduates will communicate effectively in both verbal and written form in industry and society.

Program Outcome:

PO 01: Academic Excellence: Understanding the academic field of Statistics and its different learning areas with applications.

PO 02: Contextualized Understanding: Develop the ability to distinguish between random and non-random experiments and simultaneously learn the theory and applications of probability

PO 03: Design/development of solutions: Identify, design and solve scientific problems based on data collection, data interpretation and analysis of results.

PO 04: Conduct investigations of complex problems: Explore various real-life problems and ways to solve them with a reliable solution using various statistical methods and tests.

PO 05: Quantitative Aspects: Learn to apply the tools of the various statistical and mathematical procedures with programming to solve real-life problems involving large data sets.

PO 06: Modernization and Tools Usage: Develop the ability in using modern statistical, mathematical and data analytics tools for design and analysis, and quality control.

PO 07: Societal Implication: Apply statistical methods and tools in societal, demographic, health, business and cultural issues

PO 08: Environment and Sustainability: Understand the tools towards problem solving and applications in biological science, agricultural science, and social sciences

PO 09: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of mathematical and data science.

PO 10: Individual and Team Work: Work effectively as an individual or as a member or leader in undertaking projects, research organizations, industries and multidisciplinary area

PO 11: Communication: Build up communication skills, both written and oral, so as to apply them to write effective reports.

PO 12: Life Long Learning: Develop the ability to evaluate theories, methods, principles, and applications of pure and applied Statistics and data science

Programme Specific Outcome:

PSO 01: Have the versatility to work effectively in a broad range of analytic, scientific, government, financial, health, technical and other positions.

PSO 02: Be familiar with a variety of examples where the knowledge of mathematics or statistics helps to explain the abstract or physical phenomena accurately.

PSO 03: Enhance theoretical rigor with technical skills which prepare students to become globally competitive to enter into a promising professional life in both government and private sector

Programme Eligibility:

Minimum 50% aggregate in 10 +2 or equivalent from any recognized board with Mathematics/Statistics

Duration (in Year): 3

 

Career Avenues:

  • There is scope in Banking, Finance institutions, R&D firms, Actuarial Science etc.
  • Federal bank, Cognizant, IBM, Infosys, Wipro, Deloitte, HDFC Bank, Google, etc. are some of top recruiters of the field.
  • A candidate may also pursue bureaucrat jobs like ISS, IES and IAS.
  • There is demand in urban planning companies of both government and private types.
  • This course plays a huge role in getting through the fields of risk assessment and management.
  • A candidate may also pursue for higher degrees and opt for teaching jobs in colleges or universities.

LIST OF ‘DISCIPLINE SPECIFIC ELECTIVE PAPERS (DSE)’ OFFERED BY THE DEPT. OF MATHEMATICS:

 

List of Elective Papers

Electives

Paper Name

Paper Code

Credit

L-T-P

DSE I

ECONOMETRICS

ECO11504

4

3-1-0

STATISTICAL QUALITY CONTROL

SDS11086

4

3-1-0

SOFT COMPUTING

MTH11038

4

3-1-0

DESIGN AND ANALYSIS OF ALGORITHM

CSE11659

4

3-1-0

 

 

DSE II

 

 

DEMOGRAPHY AND SURVIVAL ANALYSIS

SDS11087

4

3-1-0

INTRODUCTION TO BIG DATA

CSE11652

4

3-1-0

INTRODUCTION TO FINANCIAL RISK ANALYTICS

SDS11088

4

3-1-0

ACTUARIAL STATISTICS

SDS11037

4

3-1-0

DSE  III

 

INTRODUCTION TO DEEP LEARNING

CSE11653

4

3-1-0

INTRODUCTION TO  DEEP LEARNING     PRACTICAL

CSE12654

2

0-0-3

DATA MANIPULATION AND DATA CLEANING IN R 

SDS11030

4

3-1-0

DATA MANIPULATION AND DATA CLEANING IN R PRACTICAL

SDS12031

2

0-0-3

SURVEY SAMPLING 

SDS11089

4

3-1-0

SURVEY SAMPLING PRACTICAL

SDS12090

2

0-0-3

INTRODUCTION TO NUMERICAL ANALYSIS

MTH11017

4

3-1-0

NUMERICAL ANALYSIS LAB

MTH12019

2

0-0-3

B.Sc. (Hons) in Statistics and Data Analytics

B.Sc. (Hons) in Statistics and Data Analytics

Introduction to the Program:

This course has been frame out on the based on fundamental of Statistics and its use in data analytics with the aim that student under this course enriched by the core of modern data analytics that turn data into intelligence to inform decision-making and solve challenging problems. Applications range from economics and medicine, to social and environmental sciences. This degree covers theoretical and applied elements of modern statistics, and provides training and practical experience in modelling, analyzing and interpreting real data required in the economy, industry and research. The early years of the degree cover basic mathematics, probability and statistics. The final years focus on advanced specialist topics in statistical modelling, data science, machine learning, probability and stochastic processes.

Program Educational Objective:

PEO 01: Graduate will equip with latest techniques in Data Analytics like Python, Machine learning, Big Data etc.

PEO 02: Graduates will able to choose their course as a training ground to develop their positive attitude and skills.

PEO 03: Graduates of the program will become technically competent to pursue higher studies.

PEO 04: Graduates are prepared to survive in rapidly changing technology and engage in life-long learning.

PEO 05: Graduates will communicate effectively in both verbal and written form in industry and society.

Program Outcome:

PO 01: Academic Excellence: Understanding the academic field of Statistics and its different learning areas with applications.

PO 02: Contextualized Understanding: Develop the ability to distinguish between random and non-random experiments and simultaneously learn the theory and applications of probability

PO 03: Design/development of solutions: Identify, design and solve scientific problems based on data collection, data interpretation and analysis of results.

PO 04: Conduct investigations of complex problems: Explore various real-life problems and ways to solve them with a reliable solution using various statistical methods and tests.

PO 05: Quantitative Aspects: Learn to apply the tools of the various statistical and mathematical procedures with programming to solve real-life problems involving large data sets.

PO 06: Modernization and Tools Usage: Develop the ability in using modern statistical, mathematical and data analytics tools for design and analysis, and quality control.

PO 07: Societal Implication: Apply statistical methods and tools in societal, demographic, health, business and cultural issues

PO 08: Environment and Sustainability: Understand the tools towards problem solving and applications in biological science, agricultural science, and social sciences

PO 09: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of mathematical and data science.

PO 10: Individual and Team Work: Work effectively as an individual or as a member or leader in undertaking projects, research organizations, industries and multidisciplinary area

PO 11: Communication: Build up communication skills, both written and oral, so as to apply them to write effective reports.

PO 12: Life Long Learning: Develop the ability to evaluate theories, methods, principles, and applications of pure and applied Statistics and data science

Programme Specific Outcome:

PSO 01: Have the versatility to work effectively in a broad range of analytic, scientific, government, financial, health, technical and other positions.

PSO 02: Be familiar with a variety of examples where the knowledge of mathematics or statistics helps to explain the abstract or physical phenomena accurately.

PSO 03: Enhance theoretical rigor with technical skills which prepare students to become globally competitive to enter into a promising professional life in both government and private sector

Programme Eligibility:

Minimum 50% aggregate in 10 +2 or equivalent from any recognized board with Mathematics/Statistics

Duration (in Year): 3

 

Career Avenues:

  • There is scope in Banking, Finance institutions, R&D firms, Actuarial Science etc.
  • Federal bank, Cognizant, IBM, Infosys, Wipro, Deloitte, HDFC Bank, Google, etc. are some of top recruiters of the field.
  • A candidate may also pursue bureaucrat jobs like ISS, IES and IAS.
  • There is demand in urban planning companies of both government and private types.
  • This course plays a huge role in getting through the fields of risk assessment and management.
  • A candidate may also pursue for higher degrees and opt for teaching jobs in colleges or universities.

LIST OF ‘DISCIPLINE SPECIFIC ELECTIVE PAPERS (DSE)’ OFFERED BY THE DEPT. OF MATHEMATICS:

 

List of Elective Papers

Electives

Paper Name

Paper Code

Credit

L-T-P

DSE I

ECONOMETRICS

ECO11504

4

3-1-0

STATISTICAL QUALITY CONTROL

SDS11086

4

3-1-0

SOFT COMPUTING

MTH11038

4

3-1-0

DESIGN AND ANALYSIS OF ALGORITHM

CSE11659

4

3-1-0

 

 

DSE II

 

 

DEMOGRAPHY AND SURVIVAL ANALYSIS

SDS11087

4

3-1-0

INTRODUCTION TO BIG DATA

CSE11652

4

3-1-0

INTRODUCTION TO FINANCIAL RISK ANALYTICS

SDS11088

4

3-1-0

ACTUARIAL STATISTICS

SDS11037

4

3-1-0

DSE  III

 

INTRODUCTION TO DEEP LEARNING

CSE11653

4

3-1-0

INTRODUCTION TO  DEEP LEARNING     PRACTICAL

CSE12654

2

0-0-3

DATA MANIPULATION AND DATA CLEANING IN R 

SDS11030

4

3-1-0

DATA MANIPULATION AND DATA CLEANING IN R PRACTICAL

SDS12031

2

0-0-3

SURVEY SAMPLING 

SDS11089

4

3-1-0

SURVEY SAMPLING PRACTICAL

SDS12090

2

0-0-3

INTRODUCTION TO NUMERICAL ANALYSIS

MTH11017

4

3-1-0

NUMERICAL ANALYSIS LAB

MTH12019

2

0-0-3

B.Sc. (Hons.) in Mathematics

B.Sc. (Hons) Mathematics

B.Sc. (Hons) Mathematics Program

Introduction to the Program:

The program is open to students with 10+2 passed in Science with Mathematics and Physics as compulsory papers. There is a variety of Core-courses that emphasize the fundamentals while keeping in mind the evolving nature of the subject. The ultimate goal of this programme is that our students should apply their knowledge to demonstrate mathematics clearly and precisely, making vague ideas precise by formulating them in the language of mathematics. The other goal includes students may work in teams on multi-disciplinary projects in research organizations and other industries. We also try to enhance their employability for jobs in public and private sectors.

Program Educational Objective:

PEO 01: Graduates will pursue higher education/research in recognized national/international institutes.

PEO 02: To prepare students with knowledge, abilities and insight in mathematics and related fields.

PEO 03: Graduates will work effectively as individuals and as team members in multidisciplinary projects.

PEO 04: Be able to formulate, investigate and analyze scientifically real life problems along with ethical attitude.

PEO 05: To facilitate students to recognize the need for and the ability to engage in life-long learning.

Program Outcome:

PO 01: Academic Excellence: Apply theoretical knowledge of Mathematics for the solution of different problems related to science and technology.

PO 02: Contextualized Understanding: Develop mathematical concepts in all the fields of learning and recognize the need in science and technology.

PO 03: Critical Thinking and Problem Solving Skills: Investigate various problems with effective solutions or techniques to crack competitive examinations and higher studies.

PO 04: Problem Analysis: Identify, formulate and analyze complex problems using mathematical principles.

PO 05: Modernization and Tools Usage: Design and solve critical problems using sophisticated mathematical modelling with modern tools and programming skills.

PO 06: Societal Implication:  Analyze complex social elements, their interrelation and its impact on geographically different society.

PO 07: Environment and Sustainability: Design a system, component, or process to meet desired needs within realistic constraints such as environmental, health, safety, manufacturability, and sustainability.

PO 08: Ethics: Understand ethical principle and commit to professional ethics, responsibly and norms in the society.

PO 09: Individual and Team Work: Work as an individual or in teams on multi-disciplinary projects in research organizations, industries and participate in academic discussion.

PO 10: Communication: Build up effective communication skills, both written and verbal, to specialized and non-specialized audiences.

PO 11: Leadership Skills: Undertake a major, individual, mathematics-related project and discuss the results in a full scientific report with a presentation.

PO12: Life Long Learning: Develop the ability to reasoning, abstract thinking, critically evaluate theories, methods, principles, and applications of pure and applied science.

Programme Specific Outcome:

PSO 01: Understand basic concepts of mathematics to develop problem solving skills which are required for higher education and get placed in gov./ private organizations

PSO 02: Develop deeper understanding and expanded knowledge in pure mathematics

PSO 03: Apply mathematical methods to other disciplines such as physics, engineering, computer science

Programme Eligibility:

Minimum 50% aggregate in 10 +2 or equivalent from any recognized board with respective subjects

Duration (in Year): 3

 

Career Avenues:

  • Scope to build their career in actuarial profession.
  • Mathematics graduates can apply their logical, numerical and analytical skill to build a career in various private and public sectors.
  • Mathematics graduates have huge opportunity to make their career in banking sector.
  • After acquiring higher degrees such as M.Sc. and PhD, one can also option for teaching jobs in school, colleges and universities.
  • Various scopes for higher studies in different application oriented disciplines.
  • Scope to build their career as a researcher in various branches of Mathematics.

Discipline Specific Electives (DSE):

Students are required to study THREE elective Papers from the Major/ Hons discipline during semester V and VI. The list of the electives is given below.

DSE I

DSE II

ANALYTICAL STATICS & HYDROSTATICS 

MTH11097

NUMBER THOERY

MTH11027

MATHEMATICAL MODELLING 

MTH11029

METRIC SPACE AND TOPOLOGY

MTH11099

NUMERICAL METHODS FOR ORDINARY DIFFERENTIAL EQUATIONS

MTH11098

NON-NEGATIVE MATRICES

MTH11100

ELEMENTARY DATA SCIENCE AND VISUALIZATION 

SDS11082

GRAPH THEORY

MTH11101

                                                                                                  DSE III

 

INTRODUCTION TO OPTIMIZATION 

MTH11102

INTRODUCTION TO FINANCIAL RISK ANALYTICS

MTH11103

INTRODUCTION TO STOCHASTIC PROCESS 

SDS11092 

INTRODUCTION TO PORTFOLIO OPTIMIZATION  

MTH11104

B.Sc. (Hons) Mathematics

B.Sc. (Hons) Mathematics Program

Introduction to the Program:

The program is open to students with 10+2 passed in Science with Mathematics and Physics as compulsory papers. There is a variety of Core-courses that emphasize the fundamentals while keeping in mind the evolving nature of the subject. The ultimate goal of this programme is that our students should apply their knowledge to demonstrate mathematics clearly and precisely, making vague ideas precise by formulating them in the language of mathematics. The other goal includes students may work in teams on multi-disciplinary projects in research organizations and other industries. We also try to enhance their employability for jobs in public and private sectors.

Program Educational Objective:

PEO 01: Graduates will pursue higher education/research in recognized national/international institutes.

PEO 02: To prepare students with knowledge, abilities and insight in mathematics and related fields.

PEO 03: Graduates will work effectively as individuals and as team members in multidisciplinary projects.

PEO 04: Be able to formulate, investigate and analyze scientifically real life problems along with ethical attitude.

PEO 05: To facilitate students to recognize the need for and the ability to engage in life-long learning.

Program Outcome:

PO 01: Academic Excellence: Apply theoretical knowledge of Mathematics for the solution of different problems related to science and technology.

PO 02: Contextualized Understanding: Develop mathematical concepts in all the fields of learning and recognize the need in science and technology.

PO 03: Critical Thinking and Problem Solving Skills: Investigate various problems with effective solutions or techniques to crack competitive examinations and higher studies.

PO 04: Problem Analysis: Identify, formulate and analyze complex problems using mathematical principles.

PO 05: Modernization and Tools Usage: Design and solve critical problems using sophisticated mathematical modelling with modern tools and programming skills.

PO 06: Societal Implication:  Analyze complex social elements, their interrelation and its impact on geographically different society.

PO 07: Environment and Sustainability: Design a system, component, or process to meet desired needs within realistic constraints such as environmental, health, safety, manufacturability, and sustainability.

PO 08: Ethics: Understand ethical principle and commit to professional ethics, responsibly and norms in the society.

PO 09: Individual and Team Work: Work as an individual or in teams on multi-disciplinary projects in research organizations, industries and participate in academic discussion.

PO 10: Communication: Build up effective communication skills, both written and verbal, to specialized and non-specialized audiences.

PO 11: Leadership Skills: Undertake a major, individual, mathematics-related project and discuss the results in a full scientific report with a presentation.

PO12: Life Long Learning: Develop the ability to reasoning, abstract thinking, critically evaluate theories, methods, principles, and applications of pure and applied science.

Programme Specific Outcome:

PSO 01: Understand basic concepts of mathematics to develop problem solving skills which are required for higher education and get placed in gov./ private organizations

PSO 02: Develop deeper understanding and expanded knowledge in pure mathematics

PSO 03: Apply mathematical methods to other disciplines such as physics, engineering, computer science

Programme Eligibility:

Minimum 50% aggregate in 10 +2 or equivalent from any recognized board with respective subjects

Duration (in Year): 3

 

Career Avenues:

  • Scope to build their career in actuarial profession.
  • Mathematics graduates can apply their logical, numerical and analytical skill to build a career in various private and public sectors.
  • Mathematics graduates have huge opportunity to make their career in banking sector.
  • After acquiring higher degrees such as M.Sc. and PhD, one can also option for teaching jobs in school, colleges and universities.
  • Various scopes for higher studies in different application oriented disciplines.
  • Scope to build their career as a researcher in various branches of Mathematics.

Discipline Specific Electives (DSE):

Students are required to study THREE elective Papers from the Major/ Hons discipline during semester V and VI. The list of the electives is given below.

DSE I

DSE II

ANALYTICAL STATICS & HYDROSTATICS 

MTH11097

NUMBER THOERY

MTH11027

MATHEMATICAL MODELLING 

MTH11029

METRIC SPACE AND TOPOLOGY

MTH11099

NUMERICAL METHODS FOR ORDINARY DIFFERENTIAL EQUATIONS

MTH11098

NON-NEGATIVE MATRICES

MTH11100

ELEMENTARY DATA SCIENCE AND VISUALIZATION 

SDS11082

GRAPH THEORY

MTH11101

                                                                                                  DSE III

 

INTRODUCTION TO OPTIMIZATION 

MTH11102

INTRODUCTION TO FINANCIAL RISK ANALYTICS

MTH11103

INTRODUCTION TO STOCHASTIC PROCESS 

SDS11092 

INTRODUCTION TO PORTFOLIO OPTIMIZATION  

MTH11104

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