M.Sc. Integrated Computational Statistics & Data Analytics ...

1 Intg Computational Statistics & Data Analytics (5yr.) Page 1 SCHOOL OF ADVANCED SCIENCES Integrated Computational Statistics & Data Analytics (5yr.) Curriculum (2019-2020 admitted students) Intg Computational Statistics & Data Analytics (5yr.) Page 2 VISION STATEMENT OF VELLORE INSTITUTE OF TECHNOLOGY Transforming life through excellence in education and research. MISSION STATEMENT OF VELLORE INSTITUTE OF TECHNOLOGY World class Education: Excellence in education, grounded in ethics and critical thinking, for improvement of life. Cutting edge Research: An innovation ecosystem to extend knowledge and solve critical problems.

2 Impactful People: Happy, accountable, caring and effective workforce and students. Rewarding Co-creations: Active collaboration with national & international industries & universities for productivity and economic development. Service to Society: Service to the region and world through knowledge and compassion. VISION STATEMENT OF THE SCHOOL OF ADVANCED SCIENCES To be internationally renowned department in teaching, innovative research and high impact publications toward addressing the current societal problems. MISSION STATEMENT OF THE SCHOOL OF ADVANCED SCIENCES Our mission is to educate students from all over India, including those from the local and rural areas, and from other countries, so they become enlightened individuals, improving the living standards of their families, industry and society.

3 We will provide individual attention, world-class quality education and take care of character building. Intg Computational Statistics & Data Analytics (5yr.) Page 3 Integrated Computational Statistics & Data Analytics (5yr.) PROGRAMME EDUCATIONAL OBJECTIVES (PEOs) 1. Graduates will demonstrate proficiency with statistical analysis of Data. 2. Graduates will execute statistical analyses with professional statistical software. 3. Graduates will demonstrate skill in Data management. 4. Graduates will develop the ability to build and assess Data-based models. 5. Graduates will apply data science concepts and methods to solve problems in real-world contexts and will communicate these solutions effectively Intg Computational Statistics & Data Analytics (5yr.)

4 Page 4 Integrated Computational Statistics & Data Analytics (5yr.) PROGRAMME OUTCOMES (POs) PO_02: Having a clear understanding of the subject related concepts and of contemporary issues and apply them to identify, formulate and analyse complex engineering problems. PO_04: Having an ability to design and conduct experiments, as well as to analyse and interpret data, and synthesis of information PO_05: Having an ability to use techniques, skills, resources and modern engineering and IT tools necessary for engineering practice PO_06: Having problem solving ability- to assess social issues (societal, health, safety, legal and cultural) and engineering problems PO_07: Having adaptive thinking and adaptability in relation to environmental context and sustainable development PO_08.

5 Having a clear understanding of professional and ethical responsibility PO_09: Having cross cultural competency exhibited by working as a member or in teams PO_10: Having a good working knowledge of communicating in English communication with engineering community and society PO_11: Having a good cognitive load management skills related to project management and finance PO_12: Having interest and recognise the need for independent and lifelong learning Intg Computational Statistics & Data Analytics (5yr.) Page 5 Integrated Computational Statistics & Data Analytics (5yr.)

6 ADDITIONAL PROGRAMME OUTCOMES (APOs) APO_01: Having an ability to be socially intelligent with good SIQ (Social Intelligence Quotient) and EQ (Emotional Quotient) APO_02: Having Sense-Making Skills of creating unique insights in what is being seen or observed (Higher level thinking skills which cannot be codified) (University Elective) APO_03: Having design thinking capability APO_04: Having Computational thinking (Ability to translate vast data in to abstract concepts and to understand database reasoning APO_05: Having Virtual Collaborating ability APO_06: Having an ability to use the social media effectively for productive use APO_07: Having critical thinking and innovative skills APO_08: Having a good digital footprint Intg Computational Statistics & Data Analytics (5yr.))

7 Page 6 Integrated Computational Statistics & Data Analytics (5yr.) PROGRAMME SPECIFIC OUTCOMES (PSOs) On completion of Integrated Computational Statistics and Data Analytics (5 yr.)Programme, graduates will be able to PSO1: Apply knowledge of quantitative aptitude, computing techniques, programming knowledge to analyse real-world problems and requirements. PSO2: Provide solutions to the computing problems and reaching conclusions using principles of Statistics , Computational Science and data analytic tools PSO3: Create ,select, adapt and apply suitable statistical techniques and modern computing tools for Data Analysis Intg Computational Statistics & Data Analytics (5yr.)

8 Page 7 Integrated Computational Statistics & Data Analytics (5yr.) CREDIT STRUCTURE Category-wise Credit distribution Category Credits University core (UC) 66 Programme core (PC) 68 Programme elective (PE) 64 University elective (UE) 12 Total credits 210 Intg Computational Statistics & Data Analytics (5yr.) Page 8 Integrated Computational Statistics & Data Analytics (5yr.) DETAILED CURRICULUM University Core S. No. Course Code Course Title L T P J C 1 MIY4098 Comprehensive Examination 0 0 0 0 2 2 MIY6099 Masters Thesis 0 0 0 0 16 3 CHY1003 Environmental Studies 2 0 0 4 3 4 CHY1005 Allied Chemistry 3 0 0 0 3 5 CSE1012 Introduction to Computers and their Applications 2 0 2 0 3 6 MATXXX Computational Thinking 3 0 0 0 3 7 ENG1001 Basic English 0 0 2 4 2 8 ENG1012 Communicative English 0 0 2 4 2 9 HUM1032 Ethics and Values 1 0 0 4 2 10 MAT1001 Fundamentals of Mathematics 3 1 0 0 4 11 MATXXX Real Analysis and its Applications 3 0 0 0 3 12 MGT1022 Lean Start-up Management 1 0 0 4 2 13 PHY1003

9 Physics 3 0 2 4 5 14 FLC4097 Foreign Language Course Basket 0 0 0 0 2 15 SET4001 Science, Engineering and Technology Project - I 0 0 0 0 2 16 SET4002 Science, Engineering and Technology Project - II 0 0 0 0 2 17 EXC4097 Co-Extra Curricular Basket 0 0 0 0 2 18 STS5097 Soft Skills Course Basket 0 0 0 0 8 Integrated Computational Statistics & Data Analytics (5yr.) Programme Core Intg Computational Statistics & Data Analytics (5yr.) Page 9 S. No. Course Code Course Title L T P J C 1 MATXXXX Fundamentals of Statistics 3 0 2 0 4 2 MATXXXX Probability and Random Variables 3 2 0 0 4 3 MATXXXX statistical Methods for Data Analysis 3 2 0 0 4 4 MATXXXX Distribution Theory and its applications 3 0 2 0 4 5 MATXXXX Sampling Techniques 2 2 0 0 3 6 MATXXXX Linear Algebra and Numerical Methods 3 0 0 0 3 7 MATXXXX Discrete Mathematics 3 2 0 0 4 8 MATXXXX statistical Inference 3 0 2 0 4 9 MATXXXX Regression Analysis and Predictive Models 3 0 2 0 4 10 MATXXXX Design and Analysis of Experiments 3 0 2 0 4 11 MATXXXX Programming for Data

10 Science 0 0 4 0 2 12 MATXXXX Computational Statistics for Data Science 0 0 4 0 2 13 MATXXXX statistical Computing for Data Analysis 0 0 4 0 2 14 MATXXXX Time Series Analysis and Forecasting 3 0 2 0 4 15 MATXXXX Operation Research 3 0 2 0 4 16 MATXXXX Multivariate Data Analysis 3 0 2 0 4 17 MATXXXX statistical Quality Control 3 0 2 0 4 18 MATXXXX Data base management systems 3 0 2 0 4 19 MATXXX Design and analysis of algorithms 3 0 2 0 4 Programme Elective S. No. Course Code Course Title L T P J C 1 MATXXXX Queuing Theory and Network Analysis 3 2 0 0 4 2 MATXXXX Total Quality Management and Six sigma 3 0 0 4 4 Intg Computational Statistics & Data Analytics (5yr.)