Academics Programmes - MaC

Mathematics and Computing (2022 Batch Onwards)


Unique and positive points of the program are:

  1. The program designed to train students in overlapping areas of computer science and mathematics.
  2. The program is suitable for students who are interested in professional careers or those who want to pursue higher academic degrees.
  3. Maintains a balance between core and electives and offers diversity through the choice of elective courses.
  4. Interested students may develop skill and knowledge in application areas like data science, AI and ML, finance etc which are in high demand right now.

Notable achievements from the students(present or pass-out) of the program are:

  1. The Program started inthe academic year 2022-23.

Semester-wise course credit structure of the program is as follows:

Semester - I

S. No Course Code Course Name L T P C
1 CH 102 Fundamental concepts and applications of chemistry 3 0 0 6
2 MA 109 Calculus I (1st Half) 3 1 0 4
3 MA 121 Calculus II (2nd Half) 3 1 0 4
4 PH 101 Quantum Physics and Applications 2 1 0 6
5 BB 103 Introduction to Modern Biology 3 0 0 6
6 CS 103 Introduction to Programming - 1 (Using C) (1st Half) 3 0 2 4
7 EE 103 Introduction to Programming - 2 (Using Python) (2nd Half) 3 0 2 4
8 PH 113 Hands on Science Laboratory - I 0 0 3 3
9 HS 103 Introduction to Fine Arts 1 0 0 PP/NP
10 HS 106 Design Thinking and Creativity 1 0 0 PP/NP
11 NO 101/ NO 103 National Sports Organization (NSO)/National Service Scheme (NSS) 1 0 0 PP/NP
Total Credits
 37

Semester - II

S. No Course Code Course Name L T P C
1 MA 102 Linear Algebra (1st Half) 3 1 0 4
2 MA 103 Differential Equations - I (2nd Half) 3 1 0 4
3 ME 111 Engineering Graphics Laboratory 1 0 3 5
4 EE 101 Introduction to Electrical Systems and Electronics 3 0 0 6
5 CS 106 Data Structures and Algorithms 3 0 0 6
6 CS 111 Data Structures and Algorithms Laboratory 0 0 3 3
7 ME 113 Hands on Engineering Laboratory 0 0 3 3
8 PH 102 Electricity and magnetism 2 1 0 6
9 NO 102/ NO 104 National Sports Organization (NSO)/National Service Scheme (NSS) PP/NP
Total Credits
 37

Semester - III

S. No Course Code Course Name L T P C
1 CS 205 Design and analysis of algorithms 3 0 0 6
2 CS 203 Discrete structures 3 0 0 6
3 EE 221 Introduction to Probability (1st Half) 3 0 0 3
4 EE 227 Data Analysis (2nd Half) 3 0 0 3
5 HS 201 Economics 3 0 0 6
6 CS 213 Software Systems Lab 1 3 0 8
7 CS 403 Graph Theory and Combinatorics 3 0 0 6
Total Credits
 38

Semester - IV

S. No Course Code Course Name L T P C
1 CE 301 Environmental studies 3 0 0 6
2 CS 302 Artificial intelligence 3 0 0 6
3 CS 301 Computer Architecture 3 0 0 6
4 CS 312 Artificial intelligence Laboratory 0 0 3 3
5 CS 311 Computer Architecture Laboratory 0 0 3 3
6 MA 220 Real Analysis 2 1 0 6
7 MA 210 Statistics 3 0 0 6
Total Credits
 36

Semester - V

S. No Course Code Course Name L T P C
1 MA 310 Stochastic Models 3 0 0 6
2 MA 306 Introduction to Mathematical Finance I 3 0 0 6
3 CSE Elective I 6
4 Mathematics Elective I 6
5 HSS Elective I 3 0 0 6
6 CS 427 Mathematics for Data Science 3 0 0 6
Total Credits
 36

Semester - VI

S. No Course Code Course Name L T P C
1 CS 202 Automata theory 3 1 0 8
2 MA 221 Group Theory 2 1 0 6
3 MA 320 Introduction to Mathematical Finance 2 3 0 0 6
4 CS 315 CSE Elective /Mathematics Elective/R&D project 6
5 HSS Elective II 3 0 0 6
Total Credits
 32

Semester - VII

S. No Course Code Course Name L T P C
1 CSE Elective /Mathematics Elective 6
2 Institute Elective/BTP 6
3 Institute Elective 6
Total Credits
 18

Semester - VIII

S. No Course Code Course Name L T P C
1 CSE Elective /Mathematics Elective 6
2 Institute Elective/BTP 6
3 Institute Elective 6
Total Credits
 18
Overall Credits Required (Minimum)
 252

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