The School of Computing offers MTech level course in Data Science.
Data science has critical applications across most industries, and it is one of the most in-demand careers in computer science. So this M.Tech course aims at preparing students in the area of computational sciences especially in data driven modeling and scientific computation.
Recent advances in computing-hardware platforms (NVIDIA CPU-GPUs, and Intel-Altera CPU-FPGA), Artificial Intelligence software platforms (like Torch, Theano and Tensor-flow) and sensor technology (camera, lidar, ultrasonic sensors) has resulted in rapid progress in machine -cognition tasks and is expected that machines will soon surpass the humans in visual and audio perception capabilities.
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
| Category | Course Code | Title | L-T-P | Credit |
|---|---|---|---|---|
| FC | 24MA604 | Computational Mathematics for Data Science | 3 0 3 | 4 |
| FC | 24DS601 | Machine Learning | 3 0 3 | 4 |
| FC | 24DS602 | Foundation of Data Management | 3 0 3 | 4 |
| SC | SC-1 | 2 0 3 | 3 | |
| HU | 25AVP501 | Mastery Over Mind | 1 0 2 | 2 |
| SC | 24RM607 | Research Methodology | 2 0 0 | 2 |
| HU | 23AVP601 | Amrita Values Program | P/F | |
| HU | 23HU601 | Career Competency – I | 0 0 3 | P/F |
| Total | 30 | 19 |
| Category | Course Code | Title | L-T-P | Credit |
|---|---|---|---|---|
| FC | 24DS611 | Deep Learning | 3 0 3 | 4 |
| SC | SC-2 | 2 0 3 | 3 | |
| SC | SC-3 | 2 0 3 | 3 | |
| SC | SC-4 | 2 0 3 | 3 | |
| E | Elective 1 | 2 0 3 | 3 | |
| E | Elective 2 | 2 0 3 | 3 | |
| HU | 23HU611 | Career Competency – II | 0 0 3 | 1 |
| Total | 34 | 20 |
| Category | Course Code | Title | L-T-P | Credit |
|---|---|---|---|---|
| E | Elective 3 | 2 0 3 | 3 | |
| E | Elective 4 | 2 0 3 | 3 | |
| P | 24DS798 | Dissertation | 0 0 11 | 11 |
| Total | 21 | 17 |
| Category | Course Code | Title | L-T-P | Credit |
|---|---|---|---|---|
| P | 24DS799 | Dissertation | 0 0 16 | 16 |
| Total | 16 | 16 | ||
| Grand Total | 72 |
| Course Code | Title | L-T-P | Credit |
|---|---|---|---|
| 24MA604 | Computational Mathematical for Data Science | 303 | 4 |
| 24DS602 | Foundation of Data Management | 303 | 4 |
| 24DS601 | Machine Learning | 3 0 3 | 4 |
| 24DS611 | Deep Learning | 3 0 3 | 4 |
| Course Code | Title | L-T-P | Credit |
|---|---|---|---|
| 24DS631 | Embedded Computing & Realtime OS for Data Science Applications | 2 03 | 3 |
| 24RM607 | Research Methodology | 2 0 0 | 2 |
| 24DS632 | Introduction to Probabilistic Graphical Models | 2 0 3 | 3 |
| 24DS633 | Scientific Computing | 2 0 3 | 3 |
| 24DS634 | Text Mining and Analytics | 2 0 3 | 3 |
| 24DS635 | Big Data Framework for Data Science | 2 0 3 | 3 |
| 24DS636 | Statistical Modelling | 2 0 3 | 3 |
| 24DS637 | Advanced Data Visualization and Analytics | 2 0 3 | 3 |
| Course Code | Title | L-T-P | Credit |
|---|---|---|---|
| 24DS731 | AI Applications for Power Systems | 2 0 3 | 3 |
| 24DS732 | Deep Learning in Genomics and Biomedicine | 2 0 3 | 3 |
| 24DS733 | Deep Learning for Biomedical Data Analysis | 2 0 3 | 3 |
| 24DS734 | Deep Learning for Speech Signal Processing | 2 0 3 | 3 |
| 24DS735 | Social Media Analytics | 2 0 3 | 3 |
| 24DS736 | Deep Learning for Visual Recognition | 2 0 3 | 3 |
| 24DS737 | Deep Learning for Cyber Security | 2 0 3 | 3 |
| 24DS738 | Complex Systems in Engineering, Finance & Biology: Modelling & Analysis | 2 0 3 | 3 |
| 24DS739 | High Performance Computing | 2 0 3 | 3 |
| 24DS740 | Multiscale Modelling in Fluid Mechanics | 2 0 3 | 3 |
| 24DS741 | Computer Vision | 2 0 3 | 3 |
| 24DS742 | Reinforcement Learning | 2 0 3 | 3 |
| 24DS743 | Blockchain Technology | 2 0 3 | 3 |
| 24DS744 | Predictive Analytics for Internet of Things | 2 0 3 | 3 |
| 24DS745 | Cloud Computing and Security in the Cloud | 2 0 3 | 3 |
| 24DS746 | Financial Data Analytics | 2 0 3 | 3 |
| 24DS747 | Material Informatics | 2 0 3 | 3 |
| 24DS748 | Integration of data science and system biology | 2 0 3 | 3 |
| 24DS749 | Introduction to Graph Theory | 2 0 3 | 3 |
Duration: Two years
All branches of B.E /B.Tech Engineering / Post Graduate course in Sciences.
M Sc in Statistics, Computer Science.
(Knowledge of programming language is needed)
Center has long term collaboration with various national laboratories (C-DAC Pune – Artificial Intelligence as applied to computational linguistics, NPOL – Cochin – Artificial Intelligence applied to Signal Processing), various IIT’s (IIT Bombay – Natural Language Processing, IIT Guwahati – Speech Processing, IIT Madras – Spatio Temporal Data Analysis), various NIT’s (NIT Surathkal – Natural Language Processing, NIT Trichy – Smart Grids) and International research institutes (KTH- Sweden – Artificial Intelligence as applied to power grids, Potsdam Institute Berlin – Spatio-Temporal data analysis, University of Cincinnati – BioInformatics, University of Wyoming – Artificial Intelligence applied to Agriculture).
Amrita Vishwa Vidyapeetham is one of the top private universities in India offering a 2-year M.Tech in Data Science at its Coimbatore and Bengaluru campuses.
This multi-campus, prestigious academic institution offers multi-disciplinary, research-intensive courses across Engineering, Management, and Medical Sciences, including Ayurveda, Life Sciences, Physical Sciences, Agriculture Sciences, Arts & Humanities, and Social & Behavioural Sciences.
Amrita has emerged as the seventh-best university in the National Institutional Ranking Framework (NIRF) Rankings 2023 and is accredited with the highest possible ‘A++’ grade by NAAC.
With more than 250 UG, PG, and Ph.D. courses, Amrita campuses imbibe value-based education to a vibrant student population of over 24,000, helmed by 1700+ strong faculty.
One of the top institutions for higher learning, Amrita has established 180+ collaborations with the top 500 world-ranked universities and is the first choice for corporate conglomerates in India and abroad for campus recruitment.
Data science offers skyrocketing demand with versatile roles across various sectors such as finance, healthcare, marketing, and technology. As industries integrate technologies like IoT and automation, data scientists’ interdisciplinary skills become increasingly crucial for decision-making processes. Additionally, the continuous evolution of the field ensures global applicability and sustained demand for professionals who stay updated with the latest trends in machine learning, artificial intelligence, and big data analytics.
The job market for data scientists is dynamic and promising. In India, entry-level salaries range from ₹5,00,000 to ₹7,00,000 per year, mid-level salaries typically range from ₹7,00,000 to ₹12,00,000 per year, and senior-level data scientists can command salaries ranging from ₹12,00,000 to ₹25,00,000+ per year. Data scientists find opportunities in various sectors, including finance, healthcare, e-commerce, technology, marketing, telecommunications, energy, and government services.
Data scientists can find employment across diverse industries such as finance, healthcare, e-commerce, technology, marketing, telecommunications, energy, and government services. Their expertise in data-driven decision-making is essential in sectors where extracting insights from data is crucial for strategic planning and operational efficiency.
The industrial growth for data science is expected to be substantial over the next five years, driven by factors such as the continuous growth of big data, increased adoption of AI and machine learning, advancements in health-tech applications, the need for cybersecurity and fraud detection measures, and the development of smart cities and IoT technologies.
Pursuing an M.Tech in Data Science at Amrita University offers several advantages. These include access to state-of-the-art labs and facilities, opportunities to work on real-world projects addressing diverse challenges, involvement in groundbreaking research initiatives, and placement assurance aligned with industry needs. The program emphasizes practical applications and prepares students for rewarding careers in the evolving field of data science.
I am an alumni of CEN; I completed my M Tech in Computational Engineering in 2012. My time at Amrita was a very different experience, especially the guidance of our beloved Soman Sir, which nurtured my interest into research in the fields of signal processing and optimization. After completing my Masters, I moved to New Zealand where I started exploring opportunities for pursuing my research interests. My PhD thesis supervisor at Victoria, impressed by the research that I carried out under the guidance of Soman Sir, agreed to supervise me for Doctoral research. I was also fortunate to get my research funded using the coveted Victoria Doctoral Scholarship. The scholarship is highly competitive and awarded mainly based on academic credentials and the quality of publications. I could get this scholarship primarily because of the publications from the research work done with Soman Sir
From my day one in CEN, I came to know a lot of people with full energy and enthusiasm towards research. CEN is a big family under the roof of outstanding professor Dr. Soman K.P, our dearest Soman sir. I learned many things from CEN. The syllabus we had was cutting edge. I was trained in writing technical papers and publications and also experienced many new technologies from here. I got a lot of opportunities and worldwide exposure here. The faculty and staffs were very supportive and are top rated. CEN played a major role in shaping my career. I really believe it is a privilege to be a part of CEN department.
CEN gave me step-by-step guidance on how to build my machine learning skills and master the state of the art machine learning problems. All the teachers and staffs are very friendly and its a great place for students who have a passion to work on current research problems.
Center for Computational Engineering and Networking (CEN) enlightened my life in so many ways, and opened up employment opportunities.I have chosen Natural Language Processing and Cognitive Learning as core subject in my master degree.I like the hands-on approach of the courses at CEN because it has taken my learning beyond theory. I have learned to apply my knowledge through experiences like publishing research paper’s, working with extremely talented Mathematicians and professors and also continuous participating in Artificial intelligence challenges.Thank you CEN!
I started my M.Tech program in Amrita University without knowing much about Computational Engineering and Networking (CEN). But now, I realize that the two years in CEN had really prepared me for a career in Artificial Intelligence. The interdisciplinary nature of the academic programs in CEN which includes Machine learning, Deep Learning, Remote Sensing, Image Processing, Big Data Analytics etc. and the research atmosphere is the highlight of the department. Unlike other post graduate programs, learning at CEN is really different. Apart from the classroom lessons, we had numerous workshops, paper presentations, seminars which helped me to nurture the latest trends in technology. The excellent faculty, having expertise in various backgrounds gave me proper guidance to learn. I am proud to be a part of the CEN family. My areas of interest includes Image processing, Machine learning, Deep learning, Natural Language Processing.
The top reasons to choose Amrita for your career
Email
mtech@amrita.edu
