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Overview

The Five-year Integrated M.Sc. Program on Data Science is intended for the students who aspire to excel in data science. It provides a spectrum of basics to advanced mathematical methods and their applications to both conventional and IT industries that enable to tackle emerging problems. The curriculum covers the necessary basics in Mathematics, Statistics, Computer programming and Business analytics and it also includes the emerging topics such as Big Data Analytics, Neural Networks, Machine Learning, Artificial Intelligence, Data Visualization, and Data Modeling to deal with vast data from business, healthcare, sensors, Internet, surveys, social media, astronomy, human space exploration and operations, and aeronautics.

Curriculum

Semester 1
Course Code Course Title L T P Cr
21ENG101 Communicative English 2 0 2 3
  Language Paper I 1 0 2 2
22MAT108 Calculus 3 1 0 4
22MAT109 Linear Algebra 3 0 2 4
22PHY101 Physics 3 0 0 3
22CSC101 Problem Solving and Computer Programming 3 0 0 3
22CSC181 Problem solving computer Lab 0 0 2 1
22PHY181 Physics Lab 0 0 2 1
21CUL101 Cultural Education I 2 0 0 2
  Total       23
Semester 2
Course Code Course Title L T P Cr
21ENG111 Professional Communication 1 0 2 2
  Language Paper II 1 0 2 2
22MAT118 Vector Calculus 3 1 0 4
22MAT119 Discrete Mathematics 3 0 2 4
22CSC111 Advanced Computer Programming 3 0 0 3
22CSC112 Digital Electronics 3 0 0 3
22CSC182 Advanced Computer Programming Lab. 0 0 2 1
22CSC183 Digital Electronics Lab 0 0 2 1
21CUL111 Cultural Education II 2 0 0 2
22AVP103 Mastery Over Mind 1 0 2 2
  TOTAL       24
Semester 3
Course Code Course Title L T P Cr
22CSC201 Data Structures 3 1 0 4
22MAT224 Optimization Techniques 3 1 0 4
22MAT225 Probability Theory 3 1 0 4
22MAT226 Numerical Methods 3 1 0 4
22CSC202 Foundations of Data Science 3 0 2 4
19ENV300 Environmental Science       P/F
22MAT286 Data Science Lab-I: Statistics and Numerical Methods Lab 0 0 2 1
21AVP201 Amrita Values Programme I 1 0 0 1
22CSC281 Data Structures lab 0 0 2 1
21SSK201 Life Skills I 1 0 2 2
  TOTAL       25
Semester 4
Course Code Course Title L T P Cr
22MAT227 Statistical Inference Theory 3 0 0 3
22MAT228 Introduction to Modern Algebra 3 0 0 3
22MAT229 Convex Optimization 3 0 0 3
22CSC211 Design and Analysis of Algorithms 3 1 0 4
22CSC212 Database Management Systems  3 1 0 4
  Open Elective A* 3 0 0 3
22MAT287 Data Science Lab-II: Inference Theory 0 0 2 1
21SSK211 Life Skills II 1 0 2 2
22CSC282 Design and Analysis of Algorithms Lab 0 0 2 1
21AVP211 Amrita Values Programme II 1 0 0 1
  TOTAL       25
Semester 5
Course Code Course Title L T P Cr
22CSC301 Operating Systems 3 0 2 4
22MAT310 Multivariate Statistics for Data Science 3 0 2 4
22CSC302 Number Theory and Information Security 3 1 0 4
22CSC303 Theory of Computation 3 0 2 4
22CSC304 Database Design 3 0 0 3
22MAT392@ Live-in-Lab.@ / Open Elective B* 3 0 0 3
21SSK301 Life Skills III 1 0 2 2
22CSC381 Database Management Systems Lab 0 0 2 1
TOTAL 25
Semester 6
Course Code Course Title L T P Cr
22MAT321 Graph Analytics and Algorithms 3 0 2 4
22MAT322 Regression Analysis 3 0 2 4
22CSC311 Machine Learning 3 1 0 4
22CSC312 Data Visualization 3 0 2 4
22CSC313 Computer Networks 3 0 2 4
22CSC314 Data Governance, Ethics and Law 1 0 0 1
22CSC382 Machine Learning-Lab 0 0 2 1
22CSC383 Open Lab I (JAVA / C / C++ / R programming / Azure …) 0 0 2 1
  TOTAL       23
Semester 7
Course Code Course Title L T P Cr
22MAT401 Probabilistic Graphical Models for Data Science 3 0 2 4
22CSC401 Deep Learning 3 0 2 4
22CSC402 Practical Techniques for Big Data Analytics 3 0 2 4
22CSC403 Reinforcement Learning 3 0 2 4
22CSC404 Data Security 3 0 0 3
  Elective I 2 0 2 3
  Elective II 2 0 2 3
22CSC481 Open Lab-II (Algorithms.io / Hadoop / Cascading / web design./ RapidMiner.,/ Research paper) 0 0 2 1
  TOTAL       26
Semester 8
Course Code Course Title L T P Cr
22CSC411 Software Engineering 3 0 2 4
22CSC412 Deep Learning for Natural Language Processing 3 0 2 4
  Elective III 2 0 2 3
  Elective IV 2 0 2 3
  Elective V 2 0 2 3
22CSC490 Mini Project       5
22CSC413 Internet of Things 1 0 2 2
22CSC482 Open Lab-III (Apache Spark / Big ML /Apache Hive/ Research paper/…) 0 0 2 1
  TOTAL       25
Semester 9
Course Code Course Title L T P Cr
22CSC691 Project –I(Internship in Industries / Universities)       8
  Elective VI 2 0 2 3
  Elective VII 2 0 2 3
  Total        14
Semester 10
Course Code Course Title L T P Cr
22CSC699 Project-II (Research based) Dissertation       12
  TOTAL       12
  Total Credits       222
Mathematics Stream
Course Code Course Title L T P Cr
22MAT431 Real Analysis 2 0 2 3
22MAT432 Advanced Algebra 2 0 2 3
22MAT433 Transform Techniques 2 0 2 3
22MAT434 Advanced Big Data Analytics 2 0 2 3
22MAT435 Differential Equations 2 0 2 3
22MAT436 Random Process for Data Analytics 2 0 2 3
22MAT437 Time Series Analysis 2 0 2 3
22MAT438 Wavelets 2 0 2 3
22MAT439 Computational Geometry 2 0 2 3
22MAT440 Queuing Theory and Inventory Control  2 0 2 3
22MAT441 Theory of Sampling and Design of Experiments for Data Analysis 2 0 2 3
22MAT442 Data Analytics in Computational Biology 2 0 2 3
22MAT443 Computer Aided Drug Designing 2 0 2 3
22MAT444 Statistical Quality Control 2 0 2 3
22MAT445 Six Sigma Analytics 2 0 2 3
22MAT446 Statistical Pattern Recognition 2 0 2 3
Computer Science Stream
Course Code Course Title L T P Cr
22CSC541 Soft Computing 2 0 2 3
22CSC542 Cryptography 2 0 2 3
22CSC543 Business Analytics 2 0 2 3
22CSC544 Deep Learning for Image Processing 2 0 2 3
22CSC545 Predictive Analytics 2 0 2 3
22CSC546 Mining of Massive Datasets 2 0 2 3
22CSC547 Data Compression 2 0 2 3
22CSC548 Introduction to Embedded Systems 2 0 2 3
22CSC549 Information retrieval 2 0 2 3
22CSC550 Social Network Analytics 2 0 2 3
22CSC551 Big Data Storage and Analysis 2 0 2 3
22CSC552 Full Stack Development 2 0 2 3
22CSC553 Cloud Computing 2 0 2 3
22CSC554 Data Wrangling 2 0 2 3
22CSC555 Parallel and Distributed Systems 2 0 2 3
22CSC556 High Performance Computing 2 0 2 3
22CSC557 Advance Deep Learning 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

Languages
Course Code Course Title L T P Cr ES Course Code Course Title L T P Cr ES
Paper I Paper II
21HIN101 Hindi I 1 0 2 2 B 21HIN111 Hindi II 1 0 2 2 B
21TAM101 Tamil I 1 0 2 2 B 21TAM 111 Tamil II 1 0 2 2 B
21KAN101 Kannada I 1 0 2 2 B 21KAN111 Kannada II 1 0 2 2 B
21MAL101 Malayalam I 1 0 2 2 B 21MAL111 Malayalam II 1 0 2 2 B
21SAN101 Sanskrit I 1 0 2 2 B 21SAN111 Sanskrit II 1 0 2 2 B
Open Electives UG
Course Code Course Title L T P Cr
Course Code Course Title L T P Cr. 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
Eligibility

Admission

Eligibility

Plus two (MPC) or equivalent with at least 60% marks in Mathematics

Admission process

Students can be admitted based on merit/Rank from other national level entrance tests.

Program Overview

About

In addition to the regular curriculum, students are encouraged to take up summer/winter In-plant training/Internship. This will help students to gain real time processing of data by doing Prediction analysis, Pattern Recognition, Anomaly Detection, Clustering, Actionable Insights, Automated Processes and decision making, Segmentation, Optimization and Forecasting. A full length project is included in the curriculum to be completed in the final semester. Students are expected to take up such projects in industries. This helps students to gain knowledge on working conditions and industrial requirements when they are employed.

Harvard was right about data scientists. It’s an extremely important and high-demand role that can have significant impact on a business’ ability to achieve its goals, whether they are financial, operational, strategic, and so on.

  • Salient Features of the Program
    • Gain knowledge in Mathematics, Computer Programming and Business Analytics.
    • Placements in both conventional and software Industries.
    • Scope for doing research for those who aim to be a teacher, scientist or research associate in highly reputed national and international institutions.
    • One of the most wanted program in academics and industry.
Curriculum and syllabi

Data Science curriculum is carefully designed to cater the industrial needs and it includes Mathematics, Computer Science and Business Analytics. The syllabus starts with the basics in Calculus, Mathematical Logic, Probability, Statistics, Linear Algebra, Data Management and Analytics to advanced topics like Neural Networks, Artificial Intelligence, Machine Learning, Data Modeling and Big Data.

Program Outcomes
  • Knowledge in Mathematics and Computer Science: Understand the basic concepts, fundamental principles and the scientific theories related to Data Science.
  • Abstract thinking: Ability to absorb and understand the abstract concepts that lead to various advanced theories in Mathematics, Statistics and Computer science.
  • Modelling and solving: Ability in modelling and solving problems by identifying and employing the appropriate existing theories and methods.
  • Advanced theories and methods: Understand advanced theories and methods to design solutions for complex data science problems.
  • Applications in Engineering and Sciences: Understand the role of mathematical sciences and apply the same to solve the real life problems in fields of data science.
  • Modern software tool usage: Acquire the skills in handling scientific tools towards problem solving and solution analysis.
  • Environment and sustainability: Understand the significance of preserving the environment towards sustainable development.
  • Ethics: Imbibe ethical, moral and social values in personal and social life leading to highly cultured and civilized personality. Continue to enhance the knowledge and skills in mathematics and computer science for constructive activities, and demonstrate highest standards of professional ethics.
  • Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Develop various communication skills such as reading, listening, and speaking which will help in expressing ideas and views clearly and effectively.
  • Project management and Research: Demonstrate knowledge, understand the scientific and management principles and apply these to one’s own work, as a member/ leader in a team to manage projects and multidisciplinary research environments. Also use the research-based knowledge to analyse and solve advanced problems in data science.
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Job opportunities:

Employment opportunities for students with Data Science degree are plenty in the job market. The need for Data Scientists is growing every day in all fields. Harvard calls the Data Scientist job as the Sexiest job of 21st Century. They are also eligible to work as Scientists and Research Associates in highly reputed organizations such as ISRO, DRDO and CSIR. In addition, lucrative jobs are available in software industries. The prospective recruiters for the students of Integrated Data Science are:

Fee Structure

Scholarship – INR.30,000

Program Fees for the year 2022
Campus Tuition Fees
Annual
Caution Deposit
One Time
Total
Coimbatore 2,00,000 10,000 2,10,000
1. Withdrawal Requests received before the commencement of the programme  The entire academic fee after deducting the processing fee of Rs.1000/- will be refunded. 
2. Withdrawal Requests received within 10 days after the commencement of classes The entire academic fee after deducting 10% will be refunded. 
3. Withdrawal Requests received after 10 days and within 20 days from the commencement of classes  The entire academic fee after deducting 20% will be refunded. 
4. Withdrawal Requests received after 20 days and within 30 days from the commencement of classes.  The entire academic fee after deducting 50% will be refunded. 
5. Withdrawal Requests received after 30 days  No refund of any academic fees 

Why Amrita

601-800th

World University Rankings 2020

141

BRICS Rankings 2020

801–1000th

World University Rankings 2020

168th

BRICS University Rankings 2020

5th

India University Rankings 2020

12th

Overall Rankings 2020
ranking
5th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade

Placements

Contact Us

Chairman Admissions
Amrita Vishwa Vidyapeetham
Amritanagar Post, Ettimadai,
Coimbatore – 641 112
Tamil Nadu, India
For Enquiries Call :
9943984591,
9943984444
admissionasas@cb.amrita.edu

Admissions Apply Now