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The two-year M.Sc. Program on Applied Statistics and Data Analytics is intended for the students who aspire to excel in data analytics. It provides a spectrum of basics to advanced statistical methods and their applications to both conventional and IT industries that enable to tackle emerging problems. The curriculum covers emerging topics such as Big Data Analytics, Pattern Recognition and Marketing Analytics to deal with vast data from business, healthcare, sensors, Internet, surveys, social media, astronomy, human space exploration and operations, and aeronautics. In addition to the regular curriculum, students are encouraged to take up summer/winter In-plant training/Internship. This will help students to learn about using data mining techniques to analyze data, discover patterns, suggest analytical models to identify and respond to various patterns such as structural pattern, creational pattern and behavioral pattern, and then enrich the enactment of business, technological, industrial and healthcare processes by implanting the analytical models within the consistent operational applications. 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.
| Course code | Course | L T P | Credit | ES |
| 22MAT521 | Data Structures and Algorithms | 3 0 2 | 4 | C |
| 22MAT522 | Introduction to Data Analytics with R Programming | 3 0 2 | 4 | E |
| 22MAT523 | Linear Algebra | 3 0 2 | 4 | A |
| 22MAT524 | Optimization Techniques | 3 1 0 | 4 | D |
| 22MAT525 | Probability Theory and Estimation | 3 0 2 | 4 | B |
| 22MAT526 | Python Programming | 3 0 2 | 4 | F |
| 21CUL501 | Cultural Education | 2 0 0 | P/F | G |
| Total | 24 |
| Course code | Course | L T P | Credit | ES |
| 22MAT527 | Big Data Analytics and Hadoop | 3 0 2 | 4 | D |
| 22MAT528 | Database Management | 3 0 2 | 4 | F |
| 22MAT529 | Data Mining | 3 1 0 | 4 | E |
| 22MAT530 | Machine Learning | 3 0 2 | 4 | C |
| 22MAT531 | Multivariate Statistics and Regression Analysis | 3 0 2 | 4 | B |
| 22MAT532 | Statistical Inference and Design of Experiments | 3 0 2 | 4 | A |
| 21AVP501 | Amrita Value Programme | 1 0 0 | 1 | G |
| 22AVP103 | Mastery Over Mind | 1 0 2 | 2 | |
| Total | 27 |
| Course code | Course | L T P | Credit | ES |
| 22MAT621 | SQC and Reliability Theory | 3 0 2 | 4 | A |
| 22MAT620 | Deep Learning | 3 0 2 | 4 | B |
| Elective I | 3 0 0 | 3 | D | |
| Elective II | 3 0 0 | 3 | E | |
| Elective II | 3 0 0 | 3 | F | |
| 22MAT693@ | Live-in-Lab.@/ Open Elective* | 2 0 0 | 2 | J |
| Total | 19 |
| Course code | Course | L T P | Credit | ES |
| 22MAT695 | Dissertation | 10 | P | |
| Total | 10 |
Total credits for the program: 80
@ Course code for Live in Lab
*One Open Elective course is to be taken by each student, in the third semester, from the list of Open electives offered by the School.
@Students undertaking and registering for a Live-in-Lab project, can be exempted from registering for the Open Elective course in the third semester.
| Course code | Course | L T P | Credit | ES |
| 22MAT731 | Business Analytics | 3 0 0 | 3 | D/E |
| 22MAT732 | Categorical Data Analysis | 3 0 0 | 3 | D/E |
| 22MAT733 | Computational Biology | 3 0 0 | 3 | D/E |
| 22MAT734 | Computer aided drug designing | 3 0 0 | 3 | D/E |
| 22MAT735 | Demography and Actuarial Statistics | 3 0 0 | 3 | D/E |
| 22MAT736 | Healthcare Analytics | 3 0 0 | 3 | D/E |
| 22MAT737 | Market Analytics | 3 0 0 | 3 | D/E |
| 22MAT738 | Mining of Massive Datasets | 3 0 0 | 3 | D/E |
| 22MAT739 | Official Statistics | 3 0 0 | 3 | D/E |
| 22MAT740 | Parallel and Distributed Systems | 3 0 0 | 3 | D/E |
| 22MAT741 | Pattern Recognition | 3 0 0 | 3 | D/E |
| 22MAT742 | Queuing Theory | 3 0 0 | 3 | D/E |
| 22MAT743 | Reinforcement Learning | 3 0 0 | 3 | D/E |
| 22MAT744 | Sampling Techniques | 3 0 0 | 3 | D/E |
| 22MAT745 | Social Network Analytics | 3 0 0 | 3 | D/E |
| 22MAT746 | Special Distribution Functions | 3 0 0 | 3 | D/E |
| 22MAT747 | Stochastic Process | 3 0 0 | 3 | D/E |
| 22MAT748 | Survival Analysis | 3 0 0 | 3 | D/E |
| 22MAT749 | Taugchi Techniques | 3 0 0 | 3 | D/E |
| 22MAT750 | Thanking with Data | 3 0 0 | 3 | D/E |
| Course Code | Course Title | L T P | Cr. | ES |
| 21OEL631 | Advanced Statistical Analysis for Research | 2 0 0 | 2 | D/E |
| 21OEL632 | Basics of PC Software | 2 0 0 | 2 | D/E |
| 21OEL633 | Computer Hardware and Networking | 1 0 1 | 2 | D/E |
| 21OEL634 | Consumer Protection Act | 2 0 0 | 2 | D/E |
| 21OEL635 | Corporate Communication | 2 0 0 | 2 | D/E |
| 21OEL636 | Design Studies | 2 0 0 | 2 | D/E |
| 21OEL637 | Disaster Management | 2 0 0 | 2 | D/E |
| 21OEL638 | Essentials of Cultural Studies | 2 0 0 | 2 | D/E |
| 21OEL639 | Foundations of Mathematics | 2 0 0 | 2 | D/E |
| 21OEL640 | Foundations of Quantum Mechanics | 2 0 0 | 2 | D/E |
| 21OEL641 | Glimpses of Life through Literature | 2 0 0 | 2 | D/E |
| 21OEL642 | Information Technology in Banking | 2 0 0 | 2 | D/E |
| 21OEL643 | Knowledge Management | 2 0 0 | 2 | D/E |
| 21OEL644 | Marketing Research | 2 0 0 | 2 | D/E |
| 21OEL645 | Media for Social Change | 2 0 0 | 2 | D/E |
| 21OEL646 | Media Management | 2 0 0 | 2 | D/E |
| 21OEL647 | Object-Oriented Programming | 2 0 0 | 2 | D/E |
| 21OEL648 | Painting and Sculpture | 1 0 1 | 2 | D/E |
| 21OEL649 | Personal Finance | 2 0 0 | 2 | D/E |
| 21OEL650 | Principles of Advertising | 2 0 0 | 2 | D/E |
| 21OEL651 | Principles of Packaging | 2 0 0 | 2 | D/E |
| 21OEL652 | Scripting for Rural Broadcasting | 1 0 1 | 2 | D/E |
| 21OEL653 | Social Media Website Awareness | 1 0 1 | 2 | D/E |
| 21OEL654 | Theatre Studies | 1 0 1 | 2 | D/E |
| 21OEL655 | Writing for Technical Purposes | 2 0 0 | 2 | D/E |
| 21OEL656 | Yoga and Personal Development | 1 0 1 | 2 | D/E |
| 21OEL657 | Fundamentals of Legal Awareness | 2 0 0 | 2 | D/E |
BSc in Statistics/Mathematics/Computer Science or equivalent with at least 60% marks overall.
Students can be admitted based on merit and interview.
The curriculum and syllabi for this program are on par with any reputed educational institution in India and abroad. Syllabus is framed in such a way that the candidates will be competent enough to take up the tests like NET, SLET, GATE etc. The Program offers comprehensive instruction in the theory, methods and application of Statistics. The courses include computer-intensive classes as a tool to support the analysis and interpretation of statistical data.
Employment opportunities for people qualified with M.Sc. in Applied Statistics and Data analytics are available in the form of teaching positions in various educational institutions all over India and abroad. 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. In our integrated mathematics batch, while some of the students have got jobs in both public and private sector banks, many current final year students have already secured internships/jobs in industries (manufacturing/ software/insurance). The prospective recruiters for the students of Applied Statistics and Data Analytics are:
The department always focuses on evolving with the changing needs of our stakeholders (students/parents/recruiters). The feedback from our stakeholders reveals that the curriculum and syllabi for Applied Statistics and Data Analytics are on par with any reputed educational institution in India and abroad. Students are finding it more interesting as the program is a combination of both Statistics and Data Analytics. They learn advanced programming languages and application of statistical software which are useful in industries and IT companies. The intersection of Statistics and Data Analytics has enabled more sophisticated ways in learning. They have learnt to implement, and do experiments with data analysis techniques and algorithms which will lead them to be effective practitioners in data handling at the end of second year. Students can identify and deploy appropriate modeling and methodologies in order to extract meaningful information for decision making. They can also analyze big data and make data-driven predictions through probabilistic modeling and statistical inference.
| Program Fees for the year 2022-2023 | |||
|
Tuition Fees Annual |
Caution Deposit One Time |
Total
|
|
| 1,03,000 | 10,000 | 1,13,000 | |
| Hostel & Mess Fee for the year 2022-23 | |||
| CAMPUS | Caution Deposit (ONE TIME) |
HOSTEL FEE PER YEAR |
MESS FEE PER YEAR |
| Coimbatore | 10,000 | 52,000 | 56,000 |
Note: #DOES NOT include expenses for food, travel, accommodation for Field and Study Trips, participation in events and conferences, programmes / competitions, Internships, Portfolio Presentation and Printing booklet, Special Internship, Placement Trips, Projects / Dissertation, excursion, etc. subject to change whenever required.
SCHOLARSHIP SCHEME(at the time of admission) is offered for all courses (except Ph.D.)
The top reasons to choose Amrita for your career
Admission Coordinator
(ASAS Kochi Campus)
Phone:
+91 8304004400
+91 04842802000
