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 develop 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.
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].
To know more about admission procedures, including lateral admission and about fees and financial aid, please visit our undergraduate admissions page or contact [email protected].
| Offered by | School of Arts and Sciences |
| Programme | Bachelor of Science (Honours) |
| Degree | Bachelor of Science (Honours) |
| Minimum Programme Credits | 167 |
| Minimum Major Credits | 80 |
| Credits | |
|---|---|
| Foundation Programme (Three Studios) | 9 |
| First Year Interdisciplinary Seminar on Critical Thinking and Writing | 3 |
Note: If a student’s performance in the First Year Interdisciplinary Seminar Course is unsatisfactory, they will have to retake the course during a specified time window.
| Credits | |
|---|---|
| Humanities and Languages | 3 |
| Social Sciences | 3 |
| Biological and Life Sciences | 3 |
| Mathematical and Physical Sciences CSD105 Introduction to Data Science |
3 |
| Performing and Visual Arts | 3 |
| MAT396 Numerical Methods | 3 |
| GER Elective 1 | 3 |
| GER Elective 2 | 3 |
| COM101 Effective Reading and Comprehension Skills | 3 |
| Sports and Wellness* | 3 |
Notes:
|
Major Requirements |
Credits |
|---|---|
| Major Core | 47 |
| STA102 Probability and Random Variables | 3 |
| STA202 Mathematical Statistics | 4 |
| MAT101 Discrete Mathematics | 3 |
| MAT281 Multivariable Calculus | 4 |
| CSC210 Introduction to Data Structures and Algorithms | 4 |
| MAT248 Applied Linear Algebra | 3 |
| MAT256 Differential Equations | 3 |
| MAT334 Introduction to Real Analysis | 4 |
| MAT312 Abstract Algebra | 4 |
| MAT305 Mathematical Modeling | 3 |
| CSE518 Artificial Intelligence | 3 |
| MAT165 Gateway to Abstract Reasoning | 3 |
| CSC315 Automata and Computability | 3 |
| CSE301 Design and Analysis of Algorithms | 3 |
| Major Electives | 33 |
| 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 |
| CSC512 Algorithmic Game Theory | 3 |
| CSC514 Sequence Analysis Algorithms | 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 |
| 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 |
| 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 |
| 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 |
Note: The four credit courses include one credit of tutorial.
University recognises the evolving expectations of employers, who seek adaptable, tech-savvy, and well-rounded individuals with strong communication, problem-solving, and teamwork abilities. Accordingly, the university integrates structured skill courses delivered through both internal and external platforms to prepare students as “T-shaped” professionals capable of applying knowledge effectively in diverse professional contexts. Skill courses are designed and offered with an aim to develop applied, demonstrable capabilities aligned with career aspirations and job roles.
Note: Courses to be taken from the existing list or approved On-campus courses and MOOCs: See document Mapping Skills to Jobs.
Free electives let students pursue any particular area in more depth, develop alternate areas of expertise, or learn more about many other interests. They provide flexibility for customising education at the University. It can take the following form:
Notes
All graduating students must have completed an Undergraduate Thesis or a Capstone Project. Students can approach a faculty member within the University to serve as a mentor for their undergraduate thesis. Students with a CGPA below the cut-off must complete a capstone project. These projects involve interdisciplinary groups (four to six students) collaborating to solve real-world problems that require expertise from multiple fields. They identify a problem and seek guidance from a faculty mentor to formulate a capstone project, which can be done across two semesters (six credits each semester or three + nine credits) or in a single semester.
A summer internship offers invaluable professional experience and the chance to develop specific, employable skills. It provides an excellent opportunity to explore potential career paths post graduation or discover new graduate programme interests. This experience connects with industry, often serving as a direct stepping stone to a job offer. Most of our programmes include a mandatory internship requirement.
It's advised that you start thinking about internships early in the monsoon semester. You may seek advice from the Career Development Centre.
All students will complete 45 hours of community engagement to develop a sense of social responsibility, enhance problem-solving skills, and understand their role as engaged members of society. They must undergo a mandatory course, VOL101 Engagement with Society, which is a graduation requirement. Students are advised to complete the course during the first two years at the University. Volunteer work could include teaching underprivileged children, participating in adult literacy programmes, distributing blankets or other items, working with old age homes and orphanages, providing support and encouragement to patients at hospitals, cleaning heritage sites, engaging with workers on campus, operating a food bank, engaging with the police, municipal government, zoo, sanitation services, etc.
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