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About

The Integrated M.Sc program in Mathematics and Computing is aimed at producing leaders who will be at the forefront of research, development, and innovation in futuristic disciplines and next generation technologies that require deep use of mathematics, computer science, and data science.

This is an Integrated PG program providing a formidable combination of Mathematics and Computer Science. It concentrates on areas where mathematics and computing are most relevant to each other. This is an interdisciplinary programme aiming to provide the strong maths and computing skills required for the industries. The curriculum of this program is designed to meet the needs of mathematics in scientific investigations and recent technological innovations. The curriculum is designed in such a way that this programme provides a perfect platform for those who seek strong mathematical and analytical components with a specialization in artificial intelligence. Most of the courses are designed to give both theoretical knowledge and practical training through Labs/Practicals/Case studies. Apart from the capstone project, a six month industry internship option is available. There are seven electives for the specializations.

The skill set in the curriculum is as follows:

  • Mathematics          : 30 %
  • Computer Science : 25 %
  • Data Science          : 25 %
  • Humanities and other: 20%

About

The Integrated M.Sc program in Mathematics and Computing is aimed at producing leaders who will be at the forefront of research, development, and innovation in futuristic disciplines and next generation technologies that require deep use of mathematics, computer science, and data science.

This is an Integrated PG program providing a formidable combination of Mathematics and Computer Science. It concentrates on areas where mathematics and computing are most relevant to each other. This is an interdisciplinary programme aiming to provide the strong maths and computing skills required for the industries. The curriculum of this program is designed to meet the needs of mathematics in scientific investigations and recent technological innovations. The curriculum is designed in such a way that this programme provides a perfect platform for those who seek strong mathematical and analytical components with a specialization in artificial intelligence. Most of the courses are designed to give both theoretical knowledge and practical training through Labs/Practicals/Case studies. Apart from the capstone project, a six month industry internship option is available. There are seven electives for the specializations.

The skill set in the curriculum is as follows:

Attention Please!

Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.

– Issued In Public Interest By Directorate Of Admissions And Academic Outreach

Program Overview

Vision

This Mathematics and Computing program is designed to cultivate leaders who will spearhead research, development, and innovation in cutting-edge disciplines and next-generation technologies, which demand extensive proficiency in Mathematics, Computer Science, Machine Learning, and Data Science.

Mission

The mission of the Integrated M.Sc. Mathematics and Computing course could be to equip students with a comprehensive understanding of both mathematical principles and computational techniques, fostering their ability to tackle complex real-world problems at the intersection of mathematics, computer science, and data analysis. Through rigorous academic training and practical experiences, the program aims to cultivate innovative thinkers and skilled professionals who can contribute effectively to research, development, and innovation in diverse fields such as artificial intelligence, cryptography, optimization, and scientific computing.

Program Outcomes

After completing the Integrated M.Sc., Mathematics and Computing course, the students will get proficiency in

S.No. Program Outcomes
1 Knowledge in Mathematics and Computer Science: Understand the basic concepts, fundamental principles and the scientific theories related to Mathematics and Computer Science.
2 Abstract thinking: Ability to comprehend and grasp abstract concepts leading to various advanced theories in Mathematics, Statistics, and Computer Science.
3 Modeling and Problem Solving: Ability to model and solve problems by identifying and employing appropriate existing theories and methods.
4 Advanced Theories and Methods: Understand advanced theories and methods to design solutions for complex problems in Mathematics and Computer Science.
5 Applications in Engineering and Sciences: Recognize the role of mathematical sciences and apply them to solve real-life problems in various fields of Engineering and Science.
6 Modern Software Tool Usage: Acquire skills in handling scientific tools for problem-solving and solution analysis.
7 Environment and Sustainability: Understand the significance of preserving the environment for sustainable development.
8 Ethics: Embrace ethical, moral, and social values in personal and social life, leading to a highly cultured and civilized personality. Continuously enhance knowledge and skills in Mathematics and Computer Science for constructive activities, demonstrating the highest standards of professional ethics.
9 Individual and Teamwork: Function effectively as an individual and as a member or leader in diverse teams and multidisciplinary settings.
10 Communication: Develop various communication skills such as reading, listening, and speaking to express ideas and views clearly and effectively.
11 Project Management and Research: Demonstrate knowledge and understanding of scientific and management principles, applying them to one’s work as a member/leader in a team to manage projects and multidisciplinary research environments. Utilize research-based knowledge to analyze and solve advanced problems in Mathematics and Computing.
12 Lifelong Learning: Recognize the need for and possess the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.
13 Vertical Growth: Students have the option to pursue higher studies either in mathematics or in computer-related subjects.
Career Opportunities
  • Placement opportunities are very high. All core software and data science companies will require our students.
  • Employment opportunities for people qualified with Integrated M.Sc in Mathematics and Computing are aplenty in Industries. Government Sectors like, ISRO, DRDO, NAL, ARI and Software industries are also recruiting students of Integrated M.Sc.
  • Students graduating from Amrita institution will have the opportunity of getting exposed to a lot of applications in various technical fields  in which in turn will help them to be more efficient in teaching.
  • Students with high calibre have the opportunity of pursuing research either in Amrita or in any other reputed Universities and Research Organizations in India and abroad.

Curriculum

Semester I
Course Code Course Title L T P Credits
24ENG101 English I 2 0 0 2
Language Paper –I 2 0 0 2
24MAT105 Calculus 3 1 0 4
24MAT106 Discrete Mathematics 3 1 0 4
24PHY103 Physics 3 0 0 3
24CSC101 Problem Solving and Python Programming 3 0 0 3
24CSC181 Problem Solving and Python Programming Lab 0 0 2 1
24PHY183 Physics Lab 0 0 2 1
22ADM101 Foundations of Indian Heritage 2 0 1 2
Total 22
Semester II
Course Code Course Title L T P Credits
24ENG111 English II 1 0 2 2
Language Paper –II 2 0 0 2
24MAT115 Vector Calculus 3 1 0 4
24MAT116 Linear Algebra 3 0 2 4
24CSC111 Advanced Computer Programming 3 0 0 3
24CSC112 Computer Architecture 3 0 2 4
24CSC182 Advanced Computer Programming Lab 0 0 2 1
22ADM111 Glimpses of Glorious India 2 0 1 2
22AVP103 Mastery Over Mind 1 0 2 2
Total 24
Semester III
Course Code Course Title L T P Credits
24CSC201 Data Structures 3 0 0 3
24MAT204 Algebra-I 3 1 0 4
24MAT205 Computational Optimization 3 0 2 4
24CSC202 Analysis-I 3 1 0 4
24CSC202 Operating Systems 3 0 2 4
24CSC112 Computer Architecture 3 0 2 4
24CSC182 Advanced Computer Programming Lab 0 0 2 1
22ADM111 Glimpses of Glorious India 2 0 1 2
22AVP103 Mastery Over Mind 1 0 2 2
Total 24
Semester IV
Course Code Course Title L T P Credits
24MAT214 Probability and Statistics with R 3 0 2 4
24MAT215 Algebra-II 3 1 0 4
24MAT216 Analysis II 3 1 0 4
24CSC211 Design and Analysis of Algorithms 3 0 0 3
24CSC212 Database Management Systems 3 0 2 4
Open Elective A* 3 0 0 3
24CSC283 Algorithm Lab 0 0 2 1
Amrita Value Programme II 1 0 0 1
23LSK211 Life Skills II 1 0 2 2
Total 26
Semester V
Course Code Course Title L T P Credits
24MAT302 Complex Analysis 3 1 0 4
24MAT303 Statistical Inference Theory 3 0 2 4
24MAT304 Differential Equations 4 0 0 4
24CSC301 Evolutionary Computing 3 0 0 3
24CSC302 Theory of Computation 3 0 2 4
24MAT390@/
OEL
Live-in-Lab.@ / Open Elective B* 3 0 0 3
23LSK301 Life Skills III 1 0 2 2
24CSC381 Open Lab-IN (JAVA Programming/C++ /etc.) 0 0 2 1
Total 25
Semester VI
Course Code Course Title L T P Credits
24CSC311 Computer Networks 3 0 2 4
24CSC312 Machine Learning 3 1 0 4
24CSC313 Data Mining and Warehousing 3 1 0 4
24MAT312 Numerical Computations 3 0 2 4
24MAT313 Transform Techniques 3 0 0 3
24CSC314 Internet of Things 1 0 2 2
24CSC382 Data Mining Lab 0 0 2 1
24CSC383 Machine Learning-Lab 0 0 2 1
24CSC384 Open Lab II (Algorithms.io / Hadoop / Cascading / web design..,) 0 0 2 1
Total 24
Exit Option with B.Sc Degree 146
Semester VII
Course Code Course Title L T P Credits
24MAT501 Graph Analytics 3 0 2 4
24CSC501 Software Engineering 3 0 2 4
24CSC502 Number Theory and Information Security 3 1 0 4
24MAT502 Basic Topology 3 1 0 4
24CSC503 Deep Learning 3 0 2 4
Elective-I 3 0 0 3
Elective-II 3 0 0 3
Total 26
Semester VIII
Course Code Course Title L T P Credits
24CSC511 Artificial Intelligence 3 0 2 4
24CSC512 Parallel and Distributed Systems 3 0 2 4
24CSC502 Number Theory and Information Security 3 1 0 4
24CSC513 Data Security 3 0 0 3
24CSC514 Reinforcement Learning 3 0 2 4
Elective-III 3 0 0 3
Elective-IV 3 0 0 3
Elective-V 3 0 0 3
Total 24
Exit Option with B.Sc Degree 146
Semester IX
Course Code Course Title L T P Credits
Elective-VI 3 0 0 3
Elective-VII 3 0 0 3
24CSC698 Project –I (Internship in Industries
/ Academic institutions)
8
Total 14
Semester X
Course Code Course Title L T P Credits
24CSC699 Project II – Dissertation 12
Total 14
Total Credits 222
Electives
Course Code Course Title L T P Credits
24MAT531 Advanced Algebra 3 0 0 4
24MAT532 Advanced Topology 3 0 0 4
24MAT533 Functional Analysis 3 0 0 3
24MAT534 Operator Theory 3 0 0 3
24MAT535 Measure Theory 3 0 0 3
24MAT536 Theory of Ordinary Differential Equations 3 0 0 3
24MAT537 Partial Differential Equations 3 0 0 3
24MAT538 Commutative Algebra 3 0 0 3
24MAT539 Fixed Point Theory 3 0 0 3
24MAT540 Fluid Dynamics 3 0 0 3
24MAT541 Finite Element Methods 3 0 0 3
24MAT542 Advanced Graph Theory 3 0 0 3
24MAT543 Representation Theory 3 0 0 3
24MAT544 Coding Theory 3 0 0 3
24MAT545 Statistical Pattern Recognition 3 0 0 3
24MAT546 Wavelets 3 0 0 3
24MAT547 Statistical Quality Control 3 0 0 3
24MAT548 Time Series Analysis 3 0 0 3
24MAT549 Computational Geometry 3 0 0 3
24MAT550 Queuing Theory and Inventory Control 3 0 0 3
24MAT551 Nonlinear Dynamics and Chaos 3 0 0 3
Electives
Course Code Course Title L T P Credits
24CSC531 Soft Computing 2 0 2 3
24CSC532 Cryptography 2 0 2 3
24CSC533 Business Analytics 2 0 2 3
24CSC534 Deep Learning for Image Processing 2 0 2 3
24CSC535 Predictive Analytics 2 0 2 3
24CSC536 Mining of Massive Datasets 2 0 2 3
24CSC537 Data Compression 2 0 2 3
24CSC538 Introduction to Embedded Systems 2 0 2 3
24CSC538 Introduction to Embedded Systems 2 0 2 3
24CSC539 Information retrieval 2 0 2 3
24CSC540 Social Network Analytics 2 0 2 3
24CSC540 Social Network Analytics 2 0 2 3
24CSC541 Big Data Storage and Analysis 2 0 2 3
24CSC542 Full Stack Development 2 0 2 3
24CSC543 Cloud Computing 2 0 2 3
24CSC544 Data Wrangling 2 0 2 3
24CSC545 Parallel and Distributed Systems 2 0 2 3
24CSC546 High Performance Computing 2 0 2 3
24CSC547 Advance Deep Learning 2 0 2 3
24CSC548 Advanced Big Data Analytics 2 0 2 3
24CSC549 Computer Aided Drug Designing 2 0 2 3
24CSC550 Randomized Algorithms 2 0 2 3
24CSC551 Data Analytics in Computational Biology 2 0 2 3
24CSC552 Image Processing and Computer Vision 2 0 2 3
24CSC553 Multimedia Systems 2 0 2 3

Elective courses can be taken from online courses, industry electives and other B.Tech / M.Tech/ M. Sc programmes.
@ code for live in Lab

Language 1
Paper I
21HIN101 Hindi I 2 0 0 2 B
21TAM101 Tamil I 2 0 0 2 B
21KAN101 Kannada I 2 0 0 2 B
21MAL101 Malayalam I 2 0 0 2 B
21SAN101 Sanskrit I 2 0 0 2 B
Language 2
Paper II
21HIN111 Hindi II 2 0 0 2 B
21TAM111 Tamil II 2 0 0 2 B
21KAN111 Kannada II 2 0 0 2 B
21MAL111 Malayalam II 2 0 0 2 B
21SAN111 Sanskrit II 2 0 0 2 B
Amrita Value Programmes
Table 3 New names for Amrita Value Programmes I & II for UG programmes
Course Code Course Title L T P Credits
22ADM201 Strategic Lessons from Mahabharata 1 0 0 3
22ADM211 Leadership from Ramayana 1 0 0 3
22AVP210 Kerala Mural Art and Painting 1 0 0 3
22AVP218 Yoga Therapy and Lessons 1 0 0 3
22AVP212 Introduction to Traditional Indian Systems of Medicine 1 0 0 3
22AVP201 Amma’s Life and Message to the modern world 1 0 0 3
22AVP204 Lessons from the Upanishads 1 0 0 3
22AVP205 Message of the Bhagavad Gita 1 0 0 3
22AVP206 Life and Message of Swami Vivekananda 1 0 0 3
22AVP207 Life and Teachings of Spiritual Masters of India 1 0 0 3
22AVP208 Insights into Indian Arts and Literature 1 0 0 3
22AVP213 Traditional Fine Arts of India 1 0 0 3
22AVP214 Principles of Worship in India 1 0 0 3
22AVP215 Temple Mural Arts in Kerala 1 0 0 3
22AVP218 Insights into Indian Classical Music 1 0 0 3
22AVP219 Insights into Traditional Indian Painting 1 0 0 3
22AVP220 Insights into Indian Classical Dance 1 0 0 3
22AVP221 Indian Martial Arts and Self Defence 1 0 0 3
22AVP209 Yoga and Meditation 1 0 0 3
Open Electives UG
Course Code Course Title L T P Credits ES
21OEL231 A Journey towards Free India 3 0 0 3 J
21OEL232 Political Leadership 3 0 0 3 J
21OEL233 Social issues in Contemporary India 3 0 0 3 J
21OEL234 The Story of Indian Business 3 0 0 3 J
21OEL235 Industrial Psychology 3 0 0 3 J
21OEL236 Advertising 3 0 0 3 J
21OEL237 Basic Statistics 3 0 0 3 J
21OEL238 Citizen Journalism 3 0 0 3 J
21OEL239 Creative Writing for Beginners 3 0 0 3 J
21OEL240 Desktop Support and Services 3 0 0 3 J
21OEL241 Development Journalism 3 0 0 3 J
21OEL242 Digital Photography 3 0 0 3 J
21OEL243 Emotional Intelligence 3 0 0 3 J
21OEL244 Essence of Spiritual Literature 3 0 0 3 J
21OEL245 Film Theory 3 0 0 3 J
21OEL246 Fundamentals of Network Administration 3 0 0 3 J
21OEL247 Gender Studies 3 0 0 3 J
21OEL248 Glimpses of Indian Economy and Polity 3 0 0 3 J
21OEL249 Graphics and Web-designing Tools 3 0 0 3 J
21OEL250 Green Marketing 3 0 0 3 J
21OEL251 Healthcare and Technology 3 0 0 3 J
21OEL252 History of English Literature 3 0 0 3 J
21OEL253 Indian Writing in English 3 0 0 3 J
21OEL254 Industrial Relations and Labour Welfare 3 0 0 3 J
21OEL255 Introduction to Ancient Indian Yogic and Vedic Wisdom 3 0 0 3 J
21OEL256 Introduction to Computer Hardware 3 0 0 3 J
21OEL257 Introduction to Event Management 3 0 0 3 J
21OEL258 Introduction to Media 3 0 0 3 J
21OEL259 Introduction to Right to Information Act 3 0 0 3 J
21OEL260 Introduction to Translation 3 0 0 3 J
21OEL261 Linguistic Abilities 3 0 0 3 J
21OEL262 Literary Criticism and Theory 3 0 0 3 J
21OEL263 Macro Economics 3 0 0 3 J
21OEL264 Managing Failure 3 0 0 3 J
21OEL265 Media Management 3 0 0 3 J
21OEL266 Micro Economics 3 0 0 3 J
21OEL267 Micro Finance, Small Group Management and Cooperatives 3 0 0 3 J
21OEL268 Negotiation and Counselling 3 0 0 3 J
21OEL269 New Literatures 3 0 0 3 J
21OEL270 Non-Profit Organization 3 0 0 3 J
21OEL271 Personal Effectiveness 3 0 0 3 J
21OEL272 Perspectives in Astrophysics and Cosmology 3 0 0 3 J
21OEL273 Principles of Marketing 3 0 0 3 J
21OEL274 Principles of Public Relations 3 0 0 3 J
21OEL275 Science, Society and Culture 3 0 0 3 J
21OEL276 Statistical Analysis 3 0 0 3 J
21OEL277 Teamwork and Collaboration 3 0 0 3 J
21OEL278 The Message of Bhagwad Gita 3 0 0 3 J
21OEL279 Understanding Travel and Tourism 3 0 0 3 J
21OEL280 Videography 3 0 0 3 J
21OEL281 Vistas of English Literature 3 0 0 3 J
21OEL282 Web-Designing Techniques 3 0 0 3 J
21OEL283 Organic Farming 3 0 0 3 J
21OEL284 Basic Legal Awareness on Protection of Women and Rights 3 0 0 3 J
21OEL285 Ritual Performances of Kerala 3 0 0 3 J
21OEL286 Documenting Social Issues 3 0 0 3 J
21OEL287 Fabrication of Advanced Solar Cell 3 0 0 3 J
21OEL288 Basic Concepts of X-ray Diffraction 3 0 0 3 J
21OEL289 Introduction to FORTRAN and GNUPLOT 3 0 0 3 J
21OEL290 Introduction to Porous Materials 3 0 0 3 J
21OEL291 Forensic Science 3 0 0 3 J
21OEL292 Introduction to solar Physics 3 0 0 3 J
21OEL293 Recycling Recovery and Treatment Methods for Wastes 3 0 0 3 J
21OEL294 Acting and Dramatic Presentation 2 0 2 3 J
21OEL295 Computerized Accounting 2 0 2 3 J
21OEL296 Kerala Mural Art and Painting 2 0 2 3 J
21OEL297 Painting 2 0 2 3 J
21OEL298 Reporting Rural Issues 3 0 0 3 J
Evaluation Pattern
S.No Course Type Theory / Lab Mid Term marks CA marks End Semester marks
1 3- 1- 0- 4 / 4- 0- 0 – 4 / 3- 0 – 3 – 3 Theory 30 20 50
2 3- 0- 2- 4 / 2- 0 2 – 3/ 1- 0- 2 -2 Theory & Lab 30 40 30
3 0- 0- 2- 1 Lab 60 40
Eligibility

Admission

Eligibility:

  • A minimum of aggregate 60% marks in Physics, Chemistry, and Mathematics in +2 examination

Selection Process:

  • Selection for the Integrated program is based on a thorough evaluation of candidates’ performance in their Plus Two examinations.

Fee Structure

Proposed fee struture for Academic year 2024-2025
Sanctioned Intake Proposed Fee Caustion Deposit Scholarship Criteria
40 1,40,000 10000 First 10% – 50% Fee waiver Second 10% -25% Fee waiver Balance Full fee

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2020

141

BRICS Rankings 2020

801–1000th

World University Rankings 2020

168th

BRICS University Rankings 2020

7th

India University Rankings 2021

15th

Overall Rankings 2021
ranking
7th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade
Admissions Apply Now