The Department of Mathematics offers Two-Year MSc Program in Data Science with Logistics and Supply Chain Management and this Program is intended to provide students with strong foundation in emerging topics such as Logistics, Inventory models, Supply Chain Management, Data Analytics and Marketing Analytics to deal with vast data from business, transport and operations. This will help students to learn about using data analytic techniques to analyze problems in logistic and supply chain managements. 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 Program offers a substantial opportunity for independent study and research in the form of a project work and transforming it into Dissertation. This project work will typically involve literature survey, investigation and their contribution over a particular area of Logistics and Supply Chain Management that require deep use of Mathematics and Data Science. This dissertation will result in a research article for publication in a reputed journal and is strongly believed to help aspirants planning for PhD.
The students exchange program is another vital feature that helps students who wish to explore the possibilities of higher studies in top Universities of USA and Europe countries.
This program primarily focusses to cater the demands of today’s logistic industries by providing qualified persons in Logistic industries with the knowledge of Data Science.
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 Master of Science (M.Sc.) in Data Science with a focus on Logistics and Supply Chain Management is likely to integrate the principles of data science with the specific challenges and opportunities within the logistics and supply chain industry.
The course covers some data science aspects like Statistical Analysis and Machine Learning, Data Mining and Big Data Analytics along with Logistics and Supply Chain Management aspects.
This course helps in Staying updated on the latest trends and technologies in data science and supply chain management through seminar series or guest lectures.
An M.Sc. in Data Science with a focus on Logistics and Supply Chain Management can lead to a variety of exciting career opportunities. Graduates with this specialized skill set are well-positioned to contribute to the optimization and efficiency of supply chain processes using data-driven approaches.
Some potential career paths for students are Data Analyst, Statistician, Data Scientist, Business Intelligence Analyst, Market Research Analyst, Financial Analyst etc.
The combination of data science skills with industry-specific knowledge positions individuals to make meaningful contributions to the optimization and innovation of supply chain processes in various sectors.
Duration
2 Years- 4 Semester
Eligibility
A pass in B.Sc. in Mathematics /Statistics or B.Sc in. Computer Science with courses in Mathematics and/or Statistics or B.E./B.Tech in CSE/Mechanical/Production Engineering or equivalent with 50 % marks in each course and an aggregate of 60% Marks.
Selection
Selection will be based on merit and interview process.
| Proposed fee struture for Academic year 2024-2025 (Coimbatore) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Sanctioned intake | Proposed fee | Caution deposit | Scholarship criteria | ||||||
| 40 | 115000 | 10000 | Not applicable | ||||||
Program Fee for the year 2024-25 (Semester Wise)
Tuition Fee: Rs. 42,900
Caution Deposit: Rs. 3,000
# Scholarship available for meritorious students. Please contact Admission Office (+91 830 400 4400) for details.
| Course code | Course | L T P | Credit | ES |
| 24DLS501 | Linear Algebra | 3 0 2 | 4 | A |
| 24DLS502 | Probability and Statistics | 3 0 2 | 4 | B |
| 24DLS503 | Logistic | 3 0 2 | 4 | C |
| 24DLS504 | Optimization Techniques | 3 1 0 | 4 | D |
| 24DLS505 | Introduction to Data Analytics with R Programming | 3 0 2 | 4 | E |
| 24DLS506 | Python Programming | 3 0 2 | 4 | F |
| 24ADM501 | Glimpses of Indian Culture | 2 0 0 | P/F | G |
| Total | 24 |
| Course code | Course | L T P | Credit | ES |
| 24DLS511 | Supply Chain Management | 3 0 2 | 4 | A |
| 24DLS512 | Multivariate Statistics and Regression Analysis | 3 0 2 | 4 | B |
| 24DLS513 | Machine Learning | 3 0 2 | 4 | C |
| 24DLS514 | Inventory Control | 3 0 2 | 4 | D |
| 24DLS515 | Procurement, Storage and Warehouse Management | 3 1 0 | 4 | E |
| 24DLS516 | Demand and Revenue Management | 3 0 2 | 4 | F |
| 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 |
| 24DLS601 | Multimodal Transportation | 3 1 0 | 4 | A |
| 24DLS602 | Deep Learning | 3 0 2 | 4 | B |
| Elective I | 3 0 0 | 3 | D | |
| Elective II | 3 0 0 | 3 | E | |
| Elective III | 3 0 0 | 3 | F | |
| Total | 17 |
| Course code | Course | L T P | Credit | ES |
| 23DLS699 | Dissertation | 10 | P | |
| Total | 10 |
| Course code | Course | L T P | Credit | ES |
| 24DLS631 | Pattern Recognition | 3 0 0 | 3 | D/E |
| 24DLS632 | Stochastic Process | 3 0 0 | 3 | D/E |
| 24DLS633 | Queuing Theory | 3 0 0 | 3 | D/E |
| 24DLS634 | Survival Analysis | 3 0 0 | 3 | D/E |
| 24DLS635 | Sampling Techniques | 3 0 0 | 3 | D/E |
| 24DLS636 | Demography and Actuarial Statistics | 3 0 0 | 3 | D/E |
| 24DLS637 | Official Statistics | 3 0 0 | 3 | D/E |
| 24DLS638 | Reinforcement Learning | 3 0 0 | 3 | D/E |
| 24DLS639 | Social Network Analytics | 3 0 0 | 3 | D/E |
| 24DLS640 | Mining of Massive Datasets | 3 0 0 | 3 | D/E |
| 24DLS641 | Parallel and Distributed Systems | 3 0 0 | 3 | D/E |
| 24DLS642 | Taguchi Techniques | 3 0 0 | 3 | D/E |
| 24DLS643 | Special Distribution Functions | 3 0 0 | 3 | D/E |
| Course Code | Title | L-T-P | Credits |
| 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 I | 1-0-0 | 1 |
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