Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
The Department of Mathematics offers two-year M.Sc. program in Applied Statistics and Data Analytics and intends to provide students with strong foundation in statistical methodology, its applications, use of statistical computing packages and the skills to collaborate on projects to support the analysis and interpretation of statistical data in order to deal with the massive amounts of data generated by business, healthcare, sensors, the Internet, surveys, social media, astronomy, human space exploration and operations, and aeronautics.
The program provides a significant opportunity for independent study and research through project work, leading to a dissertation. The project work involves literature surveys, investigations, and contributions to specific areas of Mathematical Sciences. The resulting dissertation is expected to produce a research article suitable for publication in a reputable journal, and it is believed to greatly assist aspirants planning for a PhD.
The student exchange program is another crucial feature that enables students to explore higher study possibilities in top universities in the USA and Europe. Our students are currently pursuing PhD programs in prestigious institutions both within and outside India.
Program Highlights
The curriculum includes cutting-edge topics like Big Data Analytics, Machine Learning, Pattern Recognition, and Marketing Analytics. Students are encouraged to enroll in an internship or in-plant training program during summer and/or winter vacations. In fact, the program is designed to blend the power of statistical analysis with the advent of computing facility in providing solutions to the challenging problems of aforementioned domains.
This course provides students an overview of machine learning algorithms and techniques for predictive modelling by understanding the principles and applications of supervised and unsupervised machine learning methods.
This program primarily focusses on the application of Statistics to almost each and every discipline and is efficient to meet the demands of today’s world be it Big Data, Machine Learning, Data Mining or any other field.
Career Opportunities
A postgraduate (PG) degree in Applied Statistics and Data Analysis opens up various career opportunities in industries that rely on data-driven decision-making.
Some potential career paths for individuals with a PG degree in Applied Statistics and Data Analysis are Data Analyst, Statistician, Data Scientist, Business Intelligence Analyst, Market Research Analyst, Financial Analyst etc.
By acquiring this course they have opportunities to contribute to the field of statistics and data analysis through academic research, publishing papers, and staying updated on the latest advancements in the field.
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
A pass in B. Sc. in Mathematics/ Statistics or B. Sc. in Computer Science with courses in Mathematics and/or Statistics with 50% marks in each course and an aggregate of 60%
Test followed by interview.
A pass in B.Sc. in Mathematics/ Statistics or B.Sc. in Computer Science with courses in Mathematics and/or Statistics with 50% marks in each course and an aggregate of 60%
Selection for the postgraduate program is based on a thorough evaluation of candidates’ performance in their undergraduate examinations.
2 Years – 4 Semester
Graduation in Mathematics or Mathematics as main with an aggregate minimum of 50% excluding language subjects
Selection will be based on merit and interview process.
Commencement of Application Form: March 12th, 2024
| Course code | Course | L T P | Credit |
| 24ASD501 | Data Structures and Algorithms | 3 0 2 | 4 |
| 24ASD502 | Introduction to Data Analytics with R Programming | 3 0 2 | 4 |
| 24ASD503 | Linear Algebra | 3 0 2 | 4 |
| 24ASD504 | Optimization Techniques | 3 1 0 | 4 |
| 24ASD505 | Probability Theory and Estimation | 3 0 2 | 4 |
| 24ASD506 | Python Programming | 3 0 2 | 4 |
| 22ADM501 | Glimpses of Indian Culture | 2 0 1 | P/F |
| Total | 24 | ||
| Course code | Course | L T P | Credit |
| 24ASD511 | Big Data Analytics and Hadoop | 3 0 2 | 4 |
| 24ASD512 | Database Management | 3 0 2 | 4 |
| 24ASD513 | Data Mining | 3 1 0 | 4 |
| 24ASD514 | Machine Learning | 3 0 2 | 4 |
| 24ASD515 | Multivariate Statistics and Regression Analysis | 3 0 2 | 4 |
| 24ASD516 | Statistical Inference and Design of Experiments | 3 0 2 | 4 |
| Amrita Value Programme | 1 0 0 | 1 | |
| 22AVP103 | Mastery Over Mind | 1 0 2 | 2 |
| Total | 27 | ||
| Course code | Course | L T P | Credit |
| 24ASD601 | SQC and Reliability Theory | 3 0 2 | 4 |
| 24ASD602 | Deep Learning | 3 0 2 | 4 |
| Elective I | 3 0 0 | 3 | |
| Elective II | 3 0 0 | 3 | |
| Elective II | 3 0 0 | 3 | |
| Total | 17 |
| Course code | Course | L T P | Credit |
| 24ASD699 | Dissertation | 10 | |
| Total | 10 |
Total credits for the program: 78
| Course code | Course | L T P | Credit |
| 24ASD631 | Business Analytics | 2 0 2 | 3 |
| 24ASD632 | Categorical Data Analysis | 2 0 2 | 3 |
| 24ASD633 | Computational Biology | 2 0 2 | 3 |
| 24ASD634 | Computer aided drug designing | 2 0 2 | 3 |
| 24ASD635 | Demography and Actuarial Statistics | 2 0 2 | 3 |
| 24ASD636 | Healthcare Analytics | 2 0 2 | 3 |
| 24ASD637 | Market Analytics | 2 0 2 | 3 |
| 24ASD638 | Mining of Massive Datasets | 2 0 2 | 3 |
| 24ASD639 | Official Statistics | 2 0 2 | 3 |
| 24ASD640 | Parallel and Distributed Systems | 3 0 0 | 3 |
| 24ASD641 | Pattern Recognition | 2 0 2 | 3 |
| 24ASD642 | Queuing Theory | 2 0 2 | 3 |
| 24ASD643 | Reinforcement Learning | 2 0 2 | 3 |
| 24ASD644 | Social Network Analytics | 2 0 2 | 3 |
| 24ASD645 | Special Distribution Functions | 2 0 2 | 3 |
| 24ASD646 | Stochastic Process | 3 0 0 | 3 |
| 24ASD647 | Survival Analysis | 2 0 2 | 3 |
| 24ASD648 | Thinking with Data | 2 0 2 | 3 |
| 24ASD649 | Time Series | 2 0 2 | 3 |
| Course code | Course | L T P | Credit |
| 22ADM502 | Vedanta in day-to-day life | 1-0-0 | 1 |
| 22AVP506 | Message of Swami Vivekananda | 1-0-0 | 1 |
| 22AVP508 | Indian Arts and Literature | 1-0-0 | 1 |
| 22AVP510 | Appreciation of Kerala Mural Arts Forms | 1-0-0 | 1 |
| 22AVP501 | Message of Śrī Mātā Amritanandamayi Devi | 1-0-0 | 1 |
| 22AVP502 | Insights from the Ramayana | 1-0-0 | 1 |
| 22AVP503 | Insights from the Mahabharata | 1-0-0 | 1 |
| 22AVP504 | Insights from the Upanishads | 1-0-0 | 1 |
| 22AVP505 | Insights from Bhagavad Gita | 1-0-0 | 1 |
| 22AVP512 | Ancient Indian Science and Technology | 1-0-0 | 1 |
| 22AVP507 | Great Spiritual Teachers of India | 1-0-0 | 1 |
| 22AVP509 | Yoga and Meditation 1 | 1-0-0 | 1 |
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.
| Proposed fee struture for Academic year 2024-2025 | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Sanctioned intake | Proposed fee | Caustion deposit | Scholarship criteria | ||||||
| 40 | 120000 | 10000 | Not applicable | ||||||
# Scholarship available for meritorious students. Please contact Admission Office (+91 830 400 4400) for details.
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