Admission Open for MTech @ Amrita Vishwa Vidyapeetham

All Programs are AICTE Approved

Academics

This program is designed to enable learners to master critical skills such as mathematical modeling, machine learning and artificial intelligence. On the whole, the Master’s Program is committed to produce engineers with excellent creative capabilities and caliber to solve real life problems pertaining to industry requirements and advance their career as a Data Scientist or Data Engineer, in tune with the objectives envisioned by Amrita Vishwa Vidyapeetham.

Program Highlights

  1. The curriculum covers areas that prepare you for most lucrative careers in the space of Data Science, Data Engineering and Advanced Analytics. The programme provides extensive knowledge on most popular data science techniques such as mathematical modeling, machine learning, artificial intelligence, product development and scripting languages.
  2. Benefit from Case Studies, Simulations, Virtual Labs & Remote Labs that allow learners to apply concepts to simulated and real-world situations. Tools & Technologies covered include Apache Spark, Apache Storm for Big Data Systems/ Real time Processing, Tableau for data visualization, Tensor flow for Deep Learning and various packages within Python for data processing, machine learning and data visualization.
  3. The programme offers core courses such as Data Structures and Algorithms, Foundation of Data Science, Big Data Mining, Computational Intelligence, Data Preparation and Analysis, Statistical Learning, Machine Learning, Deep Learning and Time Series Analysis and Forecasting. Industry experts in each stream will be invited to give sessions on practical implications of classroom learned concepts in business use cases.
  4. Integrated Industry approach for problem solving in the curriculum and the delivery of the course content.
  5. The Dissertation enables students to apply concepts and techniques learnt during the programme.

Program Outcomes

Students who have completed the M.Tech in Data Science Program will be able to:

  • Develop in depth understanding of the key technologies in data science and business analytics such as structured/unstructured data mining, machine learning, visualization techniques, predictive modeling, and statistics.
  • Practice problem analysis and decision-making.
  • Interpret data, extract meaningful information, and assess findings.
  • Effectively communicate data science-related information effectively in various formats to appropriate audiences.
  • Apply quantitative modeling and data analysis techniques to transform findings from data resources into actionable business strategies.
  • Gain practical, hands-on experience with statistics programming languages and big data tools through coursework and applied research experiences.
  • Develop an ability to contribute by research and innovation to solve engineering problems.

Program Curriculum

Participants need to take certain number of Courses, Minor Project and Dissertation. The coursework requirement for the program would consist of a set of core courses and electives. Core courses are compulsory for all participants, while electives can be chosen based on individual learning preferences.

First Semester
Course Code Type Course L T P Credits
19MA610 FC Linear Algebra and Optimization Techniques 3 0 0 3
19DS601 FC Data Structures and Algorithms 3 0 1 4
19DS611 SC Big Data Mining 3 0 1 4
19DS612 SC Statistical Learning 3 0 0 3
19DS613 SC Computational Intelligence 3 0 0 3
19DS614 SC Data Preparation and Analysis 2 0 1 3
19HU601 HU Amrita Values Program* 0 P/F
19HU602 HU Career Competency I* 0 P/F
    Total Credits   20
*Non-credit course
Second Semester
Course Code Type Course L T P Credits
19DS615 SC Machine Learning 3 0 1 4
19DS616 SC Deep learning 3 0 1 4
19DS617 SC Time Series Analysis and Forecasting 2 0 1 3
  E Elective-I 3 0 0 3
  E Elective-II 3 0 0 3
19RM600 SC Research Methodology 2 0 0 2
19HU603 HU Career Competency II 0 0 2 1
 
 
    Total Credits   20
Third Semester
Course Code Type Course L T P Credits
  E Elective-III 3 0 0 3
  E Elective-IV 3 0 0 3
19DS798 P Dissertation   8
    Total Credits   14
Fourth Semester
Course Code Type Course L T P Credits
19DS799 P Dissertation   12
 
 
    Total Credits   12

Total Credits: 66

Foundation Core (FC)
Course Code Course L T P Credits
19MA610 Linear Algebra and Optimization Techniques 3 0 0 3
19DS601 Data Structures and Algorithms 3 0 1 4
 
 
 
 
Subject Core (SC)
Course Code Course L T P Credits
19DS611 Big Data Mining 3 0 1 4
19DS612 Statistical Learning 3 0 0 3
19DS613 Computational Intelligence 3 0 0 3
19DS614 Data Preparation and Analysis 2 0 1 3
19DS615 Machine Learning 3 0 1 4
19DS616 Deep learning 3 0 1 4
19DS617 Time Series Analysis and Forecasting 2 0 1 3
Electives (E)
Course Code Course L T P Credits
19DS701 Natural Language Processing 3 0 0 3
19DS702 Information Retrieval 3 0 0 3
19DS703 Semantic Web 3 0 0 3
19DS704 Data Visualization 3 0 0 3
19DS705 Networks and Spectral Graph Theory 3 0 0 3
19DS706 Video Analytics 3 0 0 3
19DS707 Content Based Image and Video Retrieval 3 0 0 3
19DS708 3D Modeling for Visualization 3 0 0 3
19DS709 Computer Vision 3 0 0 3
19DS710 Image Analysis 3 0 0 3
19DS711 Reinforcement Learning 3 0 0 3
19DS712 Bio Informatics 3 0 0 3
19DS713 Data Compression 3 0 0 3
19DS714 Modeling and Simulation 3 0 0 3
Electives (E)
Course Code Course L T P Credits
19DS715 Recommender System 3 0 0 3
19DS716 Data Warehouse and Data Mining 3 0 0 3
19DS717 Web Analytics and Development 3 0 0 3
19DS718 Text Analytics 3 0 0 3
19DS719 Blockchain Technology 3 0 0 3
19DS720 Sensor Networks and IoT 3 0 0 3
19DS721 Predictive Analytics for Internet of Things 3 0 0 3
19DS722 Data Intensive Computing 3 0 0 3
19DS723 Parallel and Distributed Computing 3 0 0 3
19DS724 Pervasive Computing 3 0 0 3
19DS725 Data Security and Access Control 3 0 0 3
19DS726 Cloud Computing &Security in the Cloud 3 0 0 3
19DS727 Embedded Systems for Data Analytics 3 0 0 3
Students are allowed to choose the electives offered under M. Tech (DS)

How to Pursue Research Path after Completing this Program ?

Research is an integral part of the Data Science and numerous research opportunities and career progression are available for which the program will serve the foundation. They can engage in research across a wide range of data science areas, combining theoretical work with an application focus on areas like health care domain, social media mining, cyber and business analytics. 

Advantages in Terms of Placements

Data Science Career Opportunities

A Data Scientist, according to Harvard Business Review, “is a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data”. Therefore it comes as no surprise that Data Scientists are coveted professionals in the Big Data Analytics and IT industry. Demand for data scientists is booming .Fueled by big data and AI, demand for data science skills is growing exponentially. Coding skills in R/Python/Java clubbed with knowledge of statistics and applied mathematics, working knowledge of Hadoop , Spark,SQL, NoSQL, machine learning and neural networks, text processing, text analytics, proficiency in deep learning frameworks such as TensorFlow, Keras, Pytorch will fetch big career opportunities in Data Science.


Eligibility Criteria

  • B. E. / B. Tech(All Branches)/MCA/MSc in statistics

Facilities and Infrastructure

 Artificial Intelligence Lab, Computer Vision and Eye Tracking Lab, Computer Architecture and High Performance Computing Lab (CACHE Lab), Human Language Technology Lab, Robotics Lab (ARRC), IoT Lab


Industry Partners

SIRPI
MU Sigma
SAP
Honeywell
Amazon AI Lab
American Express

International Programs

Centre for International Programs facilitates foreign internship with scholarship and higher education. Students can even opt for dual degree programs.


Alumni Speaks


Industry Experts Testimony


Visit Department of Computer Science and Engineering (Bengaluru Campus) Website

Join Amrita M. Tech. Data Science @ Bengaluru Campus

If you wish to know more about the course please mail to,
mtech@amrita.edu

Year-wise Curriculum & Syllabus

You can join this program at
Degree: 
Postgraduate (PG)
School: 
School of Engineering
Campuses: 
Bengaluru