The Mathematical and Computational Sciences Major offers students a rigorous foundation in the fundamentals of Mathematics and Computational Sciences, including Data Sciences. It also prepares them to solve complex interdisciplinary problems by applying mathematical and computational tools. The Major offers a unique blend of courses in theory and modern applications of Mathematics and Computational Sciences. The objective is to create graduates with a deep understanding of the fundamental principles of mathematics who can apply strong computational techniques to model and solve problems in Physics, Economics, Finance, Engineering, and other domains.
Highlights of the Mathematical and Computational Sciences Major:
Interdisciplinary Problem Solving: Most real-life problems are complex and often require an interdisciplinary approach. The Major offers students electives from exciting interdisciplinary fields such as Bio-Computing, Data Sciences, Quantum Computing, and more.
Undergraduate Research: The faculty at the Mathematical and Physical Sciences division are actively engaged in research, providing students with opportunities to work on research projects under their direct supervision.
Employable Skills: The Major is designed to teach students valuable and functional employability skills needed for a career in industry and academia. The critical thinking and problem-solving skills and the breadth in curricula offered at Ahmedabad University will impart a rigorous and broad-based education in mathematics and computational sciences helpful in many practical professions.
Learning Objectives
The Mathematical and Computational Sciences Major seeks to provide students with the following:
Learning Outcomes
Successful completion of the Bachelor of Science (Honours) Programme with a Mathematical and Computational Sciences Major will enable the student to:
To learn more about the Mathematical and Computational Sciences (MCS) programme at Ahmedabad University you may send an email to [email protected].
| Offered by | School of Arts and Sciences |
| Programme | Bachelor of Science (Honours) |
| Degree | Bachelor of Science (Honours) |
| Minimum Programme Credits | 173 |
| Minimum Major Credits | 80 |
| Credits | |
|---|---|
| Foundation Programme (Three Studios) | 9 |
| First Year Seminar on Critical Thinking and Writing | 3 |
| Credits | |
|---|---|
| Humanities and Languages GER | 3 |
| Social Sciences GER ECO110 Macroeconomics |
3 |
| Biological and Life Sciences GER | 3 |
| Mathematical and Physical Sciences GER CSD101 Fundamentals of Data Science |
3 |
| Performing and Visual Arts GER | 3 |
| GER Elective 1 | 3 |
| GER Elective 2 | 3 |
| GER Elective 3 | 3 |
| Communications GER COM101 Effective Reading and Comprehension Skills |
3 |
| Sports & Wellness GER | 3 |
| Major Requirements | Credits |
|---|---|
| Major Core | 51 |
| STA100 Probability | 3 |
| STA202 Mathematical Statistics | 4 |
| MAT101 Discrete Mathematics | 3 |
| CSC210 Introduction to Data Structures and Algorithms | 4 |
| MAT248 Applied Linear Algebra | 3 |
| MAT256 Differential Equations | 3 |
| MAT281 Multivariable Calculus | 4 |
| MAT334 Introduction to Real Analysis | 4 |
| MAT312 Abstract Algebra | 4 |
| MAT3xx Mathematical Modeling | 3 |
| CSE523 Machine Learning | 3 |
| CSE518 Artificial intelligence | 3 |
| MAT165 Gateway to Abstract Reasoning | 3 |
| CSC315 Automata and Computability | 3 |
| CSC2XX Design and Analysis of Algorithms | 4 |
| Major Electives | 29 |
| MAT268 Introduction to Mathematical Biology | 3 |
| MAT277 Probability and Stochastic Processes | 3 |
| MAT315 Combinatorial Enumeration | 3 |
| MAT384 Introduction to Differential Geometry | 3 |
| MAT396 Numerical Methods | 3 |
| MAT442 Complex Analysis | 3 |
| MAT465 Fourier Analysis and its Applications | 3 |
| MAT485 Introduction to Quantum Computing | 3 |
| MAT502 Advanced Statistics | 3 |
| MAT515 Combinatorial Enumeration | 3 |
| MAT565 Fourier Analysis and its Applications | 3 |
| MAT585 Introduction to Quantum Computing | 3 |
| MAT596 Numerical Methods | 3 |
| MAT711 Advanced Algebra I | 3 |
| MAT721 Advanced Analysis I | 3 |
| MAT731 Advanced Topology I | 3 |
| MAT741 Advanced Algebra II | 3 |
| MAT775 Lie Algebras and their Applications in Quantum Physics | 3 |
| CSC314 Sequence Analysis Algorithms | 3 |
| CSC315 Automata and Computability | 3 |
| CSC512 Algorithmic Game Theory | 3 |
| CSC514 Sequence Analysis Algorithms | 3 |
| CSC725 Theory of Computation | 3 |
| STA310 Bayesian Data Analysis | 3 |
| STA355 Stochastic Processes | 3 |
| STA555 Stochastic Processes | 3 |
| PHY310 Quantum Mechanics I | 3 |
| PHY312 Quantum Mechanics II | 3 |
| PHY410 General Relativity | 3 |
| PHY435 Plasma Physics | 3 |
| PHY701 Mathematical Methods for Physics | 3 |
| PHY711 General Relativity | 3 |
| PHY713 Cosmology | 3 |
| PHY714 Quantum Field Theory | 3 |
| PHY736 Quantum Optics | 3 |
| ECE500 Information and Coding Theory | 3 |
| ECE210 Signals and Systems | 3 |
| ENR510 Nonlinear Dynamics | 3 |
| ECO212 Intermediate Macroeconomics | 3 |
| ECO220 Econometrics | 3 |
| ECO320 Time Series Econometrics | 3 |
| ECO501 Intermediate Microeconomics | 3 |
| ECO502 Game Theory and its Applications | 3 |
| ECO521 Time Series Econometrics | 3 |
| ECO620 Empirical Research Methods in Economics | 3 |
| TOD212 Decision Sciences | 3 |
| TOD310 Predictive Analytics for Business | 3 |
| TOD331 Supply Chain Analytics | 3 |
| TOD511 Decision Science | 3 |
| TOD701 Game Theory with Applications | 3 |
| FAC631 Derivatives and Risk Management | 3 |
| FAC633 Security Analysis and Portfolio Management | 3 |
| FAC635 Financial Modelling | 3 |
| FAC636 Financial Econometrics | 3 |
| FAC639 Modelling Randomness in Financial Markets | 3 |
Free Electives provide flexibility to students to customise their education at the University.
Free Electives allow you to take additional courses as per your choice (apart from the Foundation Programme, GERs and Major Requirements), across the university to increase your depth or breadth.
A student can take a Minor in any area designated as a Minor at any School or Centre of the University. Some Minors may have specific pre-requisites. Free Electives can also be used along with some courses from the Major Requirements and GERs towards a Minor.
All students will complete 30 hours of engagement with society to develop a sense of engagement, concern, build problem solving skills, and understand the role of an engaged member of a society. This will be done through a mandatory course, Engagement with Society, that would be a graduation requirement. This course can be taken anytime during the stay at the University but it is advised that the student engage with the courses during the first two years at the University. The 30 hours of volunteer work may be completed during one semester or during the Winter or Summer Break.
The BxMx Programme (Dual Degree) at Ahmedabad University offers a unique opportunity for students to earn both a bachelor's and a master's degree in just five years by combining their undergraduate studies with relevant graduate coursework. This flexible programme allows students to explore different academic disciplines and gain a competitive edge in the job market. By enabling students to seamlessly transition from their bachelor's to a master's programme, either within the same or a different school, The BxMx Programme fosters interdisciplinary learning and prepares graduates for a wide range of career paths. Know More