M.Tech. CSE (Specialization in Data Science)

With digitalisation of business operations, organisations throughout the world have been recognizing the value data science can create for their businesses. Data science involves the use of tools and advanced mathematical techniques to aggregate, clean, analyze and manage huge volumes of data to extract valuable insights. Such insights can aid in setting strategies that can change the course of a company in the direction of success. Data science professionals are among the highest paid in the IT industry today. There is growing demand for qualified professionals in the domain and the need for creation of new talent has encouraged CMR University to offer M.Tech Data Science program which is designed to meet the knowledge and skill needs of the industry.

  • Reputed university with excellent campus and infrastructure
  • Best-in-class faculty
  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Tech-enabled program delivery
  • 100% placement support*
(*Terms and conditions apply)

Program Details

The program is developed with inputs from industry veterans. It helps serve the following purposes for students during their careers.

  • Model various real world business scenario to answer specific information and analytics needs applying a set of data science principles, tools and techniques.
  • Analyse pre-existing systems and suggest a suitable solution by communicating relevant findings and effectively presenting results using appropriate data visualization techniques.
  • Recognize various issues in everyday business across multiple business domains, apply data science and algorithms to understand and make well-reasoned data-driven management decisions to help organizations to get an edge over competition
  • Gain insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of any business core deliverables.

Curriculum*

*Subject to change

  • Mathematical Foundations for Data Science
  • Data Mining
  • Pattern Recognition
  • Machine Learning using Python
  • Elective – I
  • Elective – II
  • Research Methodology and IPR
  • Pedagogy Studies
  • Big Data Analytics
  • Data Visualization
  • Elective – III
  • Elective -IV
  • Mini Project
  • Value Education
  • Elective – IV
  • Open Elective
  • Internship
  • Project Work – I

Open Electives

  • Internet of Things
  • Cloud Computing
  • Artificial Intelligence
  • Project Work II and Dissertation

 

Program Electives

  • R Programming
  • Sampling Methods
  • Multivariate Statistical Analysis
  • Database Technology
  • NoSQL Databases
  • Natural Language Processing
  • Recommender System
  • Design and Analysis of Experiments
  • Bio Informatics
  • Social Media Analytics
  • Real Time Data Processing
  • Time Series Analysis

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Duration: 2 Years | Full-time