B.Sc Mathematics

Overview of the Programme

The undergraduate Mathematics Programme is engaged in the historic development of the field establishing its connection to Science and Technology. The technical background of the course has endowed with a thorough understanding of today’s modern society.

The heart of the program consists of fundamental courses in the main areas of mathematics together with a variety of specialized, elective courses. It is complemented by supportive courses from other departments, in addition to the University’s general education requirements.

Programme Structure:

The course is most apt for students who have a strong interest and background in Science and Mathematics. The course is also beneficial for students who wish to pursue multi and inter-disciplinary science careers in the future.

The syllabus is embedded with the basics of Artificial Intelligence and Data Science papers which will prepare them to excel in every field and industry. Students will get a  fulfilling career that involves testing theories of pure mathematics and like to create analyze and interpret mathematical models.

PEO, PO & PSO

Program Educational Objectives (PEO):

PEO 1: Mathematical knowledge.  Apply the fundamental concepts of Mathematics to think logically and technically.

PEO 2: Problem-solving skills. Discover the Mathematical and Computational Techniques to solve the problems.

PEO 3:  Industry Collaboration. Discuss the multidisciplinary knowledge through projects and industrial training and providing a sustainable competitive edge in meeting the industry needs.

PEO 4: Employability Skill: Perceive to become an eminent Mathematician with Excellent Employability and Research Skill.

Program Specific Outcomes (PSO):

PSO 1: Understand and apply mathematical concepts in various contexts related to science, technology, business, and industry.

PSO 2: Acquire the knowledge to apply analytical and theoretical skills to model and solve mathematical problems.

PSO 3: Formulate and develop mathematical arguments in a logical manner.

PSO 4: Apply the critical thinking ability to carry out extended investigation and innovation of mathematical formulations.

Program Outcomes (PO):

PO 1: Remember the fundamental concepts of Mathematics
PO 2: Imbibe the skills necessary to effectively translate mathematical aspects to the general public.
PO 3: Understand the Pedagogical Knowledge specific to Mathematics Teaching and Learning for Lifelong Learning.
PO 4: Develop Critical thinking ability so as to improve Employability and Decision making.
PO 5: Apply Mathematical Models to solve critical problems.
PO 6: Discuss the importance of compliance with the ethics of science to maintain a sustainable environment.
PO 7: Compare the different Mathematical Models to produce accurate and precise results.
PO 8: Explain the use of mathematical and computational modeling of real decision making.
PO 9: Decipher the importance of being ethical, moral, and social values in personal and social life emerging as a highly cultured and civilized personality.

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Curriculum Structure

S.No. Sem Part Sub Type Course Code Course Name Credit Hours INT EXT Total
1 1 1 L1   Language – I 3 5 50 50 100
2 1 2 L2   English – I 3 5 50 50 100
3 1 3 Core    Core Course – I Theory 4 5 50 50 100
4 1 3 Core     Core Course – II Theory / Practical 4 4 50 50 100
5 1 3 Allied   Allied-I 4 5 50 50 100
6 1 4 SEC   Skill Enhancement Courses – IPractical / Training 4 4 50 50 100
7 1 4 AEC   Ability Enhancement Course I Environmental Studies or Universal Human Values & Professional Ethics 2 2 50 0 50
            24 30 350 300 650
1 2 1 L1   Language – II 3 5 50 50 100
2 2 2 L2   English – II 3 5 50 50 100
3 2 3 Core    Core  Course – III Theory 4 5 50 50 100
4 2 3 Core     Core  Course – IV Theory / Practical 4 4 50 50 100
5 2 3 Elective   Elective  – I Entrepreneurship Development 4 4 50 50 100
6 2 3 Allied   Allied-II 4 5 50 50 100
7 2 4 AEC   Ability Enhancement Course II Design Thinking 2 2 50 0 50
8 2 5 Ext   Extension Activity – I (NASA) 1 0 25 0 25
            25 30 375 300 675
1 3 1 L1   Language – III 3 4 50 50 100
2 3 2 L2   English – III 3 4 50 50 100
3 3 3 Core    Core  Course – V Theory 4 6 50 50 100
4 3 3 Core     Core  Course – VI Theory / Practical 4 4 50 50 100
5 3 3 Allied   Allied-III 4 5 50 50 100
6 3 4 SEC   Skill Enhancement Courses – II Practical / Training 4 5 50 50 100
7 3 4 AEC   Ability Enhancement Course III Soft Skill-1 2 2 50 0 50
8 3 3 ITR   Internship / Industrial Training (Summer vacation at the end of II semester activity) 2 0 50 0 50
9 3 5 Ext   Extension Activity – II (NASA) 1 0 25 0 25
            27 30 425 300 725
1 4 1 L1   Language – IV 3 4 50 50 100
2 4 2 L2   English – IV 3 4 50 50 100
3 4 3 Core    Core  Course – VII Theory 4 6 50 50 100
4 4 3 Core     Core  Course – VIII Theory / Practical 4 4 50 50 100
5 4 3 Allied   Allied-IV 4 5 50 50 100
8 4 3 Elective    Elective  – II 4 5 50 50 100
7 4 4 AEC   Ability Enhancement Course IV Soft Skill-2 2 2 50 0 50
8 4 5 Ext   Extension Activity – III (NASA) 1 0 25 0 25
            25 30 375 300 675
1 5 3 Core    Core  Course – IX Theory 4 6 50 50 100
2 5 3 Core     Core  Course – X Theory / Practical 4 6 50 50 100
3 5 3 Elective    Elective  – III 4 6 50 50 100
 4 5 3 Core   Core Course-XI Theory 4 6 50 50 100
5 5 4 SEC   Skill Enhancement Courses – III Practical / Training 4 6 50 50 100
6 5 3 ITR   Internship / Industrial Training – (Summer vacation at the end of IV semester activity) 2 0 50 0 50
7 5 5 Ext   Extension Activity – IV (NASA) 1 0 25 0 25
            23 30 325 250 575
1 6 3 Core    Core Course – XI Theory 4 6 50 50 100
2 6 3 Core     Core Course – XII Theory / Practical 4 4 50 50 100
3 6 3 Elective    Elective – IV 4 6 50 50 100
4 6 3 PRJ   Core Project 4 4 100 100 200
5 6 4 SEC   Skill Enhancement Courses – IV Practical / Training 4 6 50 50 100
            24 30 300 300 600
          Total credit 144 180 2150 1750 3800
Additional Credits
S.No. Sem Part Sub Type Sub Code Subject Credit Hours INT EXT Total
1 2 6 VAC   VAC – Microsoft CoE Course 2 2 50 0 50
3 4 6 IDC   VAC – Microsoft CoE Course 2 2 50 0 50
4 5 6 VAC   VAC – Microsoft CoE Course 2 2 50 0 50

 

Core – Theory
S.No. Sem Pre-requesite Course Code Course Name Offering Department Type Theory / Practical
1 1     Classical Algebra Mathematics Theory
2 2     Trignometry, Vector Calculus & Fourier Series  Mathematics Theory
3 3     Differential Equations Mathematics Theory
4 4     Mechanics Mathematics Theory
5 5     Real Analysis I Mathematics Theory
6 6 Real Analysis I   Real Analysis II Mathematics Theory

 

Core – Theory / Practical
S.No. Sem Pre-requesite Course Code Course Name Offering Department Type Theory / Practical
1 1     Calculus using SCILAB Mathematics Theory/ Practical
2 2     Analytical Geometry using Geogebra  Mathematics Theory/ Practical
3 3     Abstract Algebra Mathematics Theory
4 4     Linear Algebra Mathematics Theory
5 5     Complex Analysis I Mathematics Theory
6 5     Discrete Mathematics Mathematics Theory
7 6 Complex Analysis I   Complex Analysis II Mathematics Theory

 

Allied
S.No. Sem Pre-requesite Course Code Course Name Offering Department Type Theory / Practical
1 1     Statistical Foundation of Data Analytics-I Mathematics Theory
2 2 Statistical Foundation of Data Analytics-I   Statistical Foundation of Data Analytics-II Mathematics Theory
3 3     Financial Accounting-I Commerce Theory
4 4 Financial Accounting-I   Financial Accounting-II Commerce Theory
Parts  Sem 
I 		Sem 
II 		Sem III Sem IV Sem
 V 		Sem VI Total Credits
Part I 3 3 3 3  – –  12
Part II 3 3 3 3  –  – 12
Part III 12 16 14 16 18 16 92
Part IV  6 2 6 2 4 4 24
Part V  – 1 1 1  1  – 4
Total 24 25 27 25 23 20 144

 
Skill Enhancement Courses

S.No. Sem Pre-requesite Course Code Course Name   Offering Department Type  Practical / Training
1       SPSS Programming Mathematics Practical
2       Programming with C++ Mathematics Practical
3       Operations Research I Mathematics Theory
4   Operations Research I   Operations Research II Mathematics Theory

 

Elective                      
                       
S.No. Sem Pre-requesite Course Course Name Offering Type
Code Department Practical / Training
1 2     Entrepreneurship Development Mathematics Theory
2 4     Scientific Computing using Matlab  Mathematics Practical
3 4     Mathematical Modelling Mathematics Theory
4 5     Numerical Methods Mathematics Theory
5 5     Number Theory Mathematics Theory
6 6     Research Methodology Mathematics Theory
7 6     Graph Theory Mathematics Theory

 

Career Opportunities

B.Sc in Mathematics opens up many bright doors to promising career pathways. It is indeed possible to build a perfectly satisfying job in mathematics after a postgraduate degree. There is a large basket of professions for a mathematics graduate in which some are given below:

  • A career in IT Industry
  • Financial trader
  • Accountant
  • Actuary
  • Numerical Analyst
  • Statistician
  • Civil service fast streamer
  • Financial Manager etc…