B.Tech (Mathematics and Computing)
Unique and positive points of the program are:
The program is designed to train students in overlapping areas of computer science and mathematics.
The program is suitable for students who are interested in professional careers or those who want to pursue higher academic degrees.
Maintains a balance between core and electives and offers diversity through the choice of elective courses.
Interested students may develop skills 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:
The program started in the academic year 2022-23.
Mathematics and Computing - Curriculum 2024
Semester-wise course credit structure of the program is as follows:
Semester - I
S. No Course Code Course Name L T P C
1 MA 101 Calculus 3 1 0 8
2 PH 101 Quantum Physics and Applications 2 1 0 6
3 CH 102 Fundamental Concepts &Applications of Chemistry 3 0 0 6
4 BB 103 Introduction to Modern Biology 3 0 0 6
5 PH 113 Hands on Science Laboratory - I 0 0 3 3
6 CS 101 Computer Programming 3 0 2 8
7 HS 106 Design thinking and Creativity 1 0 0 PP/NP
8 NO107/NO105 NSO/NSS 0 0 2 2
First semester total Credits 37
Semester - II
S. No Course Code Course Name L T P C
1 MA 102 Linear Algebra 3 1 0 4
2 MA 103 Differential Equations -I 3 1 0 4
3 ME 111 Engineering Graphics Lab 1 0 3 5
4 EE 101 Introduction to Electrical Systems and Electronics 3 0 1 7
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 209 Artificial Intelligence 3 0 0 6
3 CS 301 Computer Architecture 3 0 0 6
4 CS 214 Artificial Intelligence Lab 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 MA 101 Calculus 3 1 0 8
1 CSE Elective /Mathematics Elective 6
2 Institute Elective/BTP 6
3 Institute Elective 6
Total Credits 18
Overall Credits Required (Minimum) 252