Core courses

Mathematics: Analysis and Linear Algebra I, II, Probability and Statistics, Basic Analysis, Introduction to Algebraic Structures.

Computing: Algorithms and Programming, Introduction to Electronics and Electrical Engineering, Introduction to Computer Systems, Discrete Mathematics, Data Structures and Algorithms, Automata Theory and Computability, Introduction to Numerical Methods, Introduction to AI and ML.

Breadth Soft Core: 12 credits from a selection of Physics, Chemistry, Biology, Material Science, Earth and Environmental Science subjects.

Humanities: 9 credits.

Soft Core Courses

The soft core consists of the Mathematics and Computing streams. Students have to take at least 6 credits in each stream from the specified lists of courses. Students have to take at least 21 credits from the list of soft core courses. Courses from the list of soft core courses can also be taken as electives.

Semester-wise Course Requirements

For details on these courses, please click here.

Table 1

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All students must complete a total of at least 128 credits comprising courses and other components like projects, as specified in the course requirements above. The course load for the first semester is fixed. Each subsequent semester has a “Normal”, “Reduced” and “Enhanced” course load, as specified in Table 1. Based on their CGPA and previous-term TGPA, students must register for an appropriate course load as specified in Table 2 below. In Semesters II and III, only courses listed in Sems I to IV can be credited towards an Enhanced load. Any deviation from the recommended load will be allowed only with the permission of the Dean.

Recommended Course Load

Criteria	Course Load
CGPA ≤ 6.0 AND Prev-TGPA ≤ 5.5	Reduced in Sems II to IV, Normal in Sems V to VIII
6.0 < CGPA < 8.0 OR 5.5 < Prev-TGPA < 8.0	Normal in Sems II to VIII
CGPA ≥ 8.0 AND Prev-TGPA ≥ 8.0	Normal in Sems II and III, Enhanced in Sems IV to VIII

Table 2

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Continuing for MTech Degree:

Students have the option to continue for their 5th year to obtain an MTech degree in Mathematics and Computing. To be eligible to exercise this option, students must:
(a) have completed all the requirements of the BTech Mathematics and Computing degree at the end of their 8th semester; and
(b) have a CGPA of 7.0 or more at the end of their 8th semester.

To obtain an MTech degree, students need to complete 32 credits with the following breakup:
* 13 credits of courses in the 9th and 10th semesters.   Students are required to have completed a minimum of 10 credits of   courses from the Mathematics Soft Core Pool and 10 credits of courses from   the Computing Soft Core Pool, across the 10 semesters of the BTech/MTech   programme.
* A project of 19 credits in the 9th and 10th semesters.

Study Tracks

The programme structure encourages interested students to pursue a study track should they wish to do so. Here is an indicative list of study tracks and their corresponding courses.

Suggested Electives

• MG 201 Economics, MG 265 Data Mining, MG 221 Applied Statistics, MG 226 Time Series Analysis and Forecasting, MG 258 Financial Instruments and Risk Management.
• PH 204 Quantum Mechanics, PH 202 Statistical Mechanics, Electromagnetic theory, Computational Photonics, Basics of Quantum Information.
• BC 302 Current Trends in Drug Discovery, Applied Bioinformatics. 
• ME 286 Numerical methods for partial differential equations. 
• EC 201 Theoretical and Mathematical Ecology, EC 303 Spatial and Stochastic Dynamics in Biology.
• NE 250 Entrepreneurship, Ethics and Societal Impact.
• Stochastic Approximation, Random Topology and Geometry, Topological Data Analysis. 
• Machine Learning for Geosciences, Data Analytics, Applied Statistics, Computational Epidemiology, Foundations of Robotics, Computational Robotics, Computational Physics, Multivariate Analysis for Machine Learning, Mathematical Biology, Linear and Integer Programming, Network Optimization.

Projects

• Sem 7 & 8: Independent Study/Research Experience project (ISP)* (6 credits). 
• Sem 8: Research/Industry project* (12 credits).
• Project availability is subject to the student finding a supervisor.
• Faculty or Research Groups can advertise projects and students can apply and be selected.
• Students will be encouraged to carry out project work in the industry.

Course Instructors