M.Tech in Data Sciences

NIST Big Data Working Group defines data science as, “Data Science is the empirical synthesis of actionable knowledge from raw data through the complete data lifecycle process”.

Data science is collecting, manipulating, and analyzing of data in order to extract value from it and also predict the future. This task is done by a Data Scientist. Data Scientists analyze high volumes of data, question assumptions, discover patterns in the data, develop insights, construct narratives, and provide solutions that make sense.

Data science combines several disciplines, including statistics, data analysis, machine learning and computer science. Data Science has applications in Computer vision, Text mining, NLP, Biomedical signal processing, robotics, Autonomous vehicles, Precision agriculture, business intelligence and so on. Data Science is considered the fourth paradigm of learning after empirical, theoretical, and computational learning.

A Data Scientist needs to be an expert in Computer science and software programming, written and verbal communication, probability and statistics and business domain. Since computer systems and storage capacity have turned out to be increasingly affordable over time, numerous solutions now utilize various computer systems which are cooperating together that are not very exorbitant to scale, rather than scaling solutions by acquiring a solitary super powerful and extremely costly computing machine.

The School of Computing and Information Technology at REVA UNIVERSITY offers M. Tech., in Data Science–a postgraduate programme to create motivated, innovative, creative and thinking graduates to fill the roles of Data Scientists who can conceptualize, design, analyze and develop computer software to process and analyse big data.

In Master of Data Science program, you learn to explore data using high-level mathematics, statistics and computer science. In particular, you learn how to analyze data, visualize your results, and articulate your discoveries. You will leave the program with the ability to think about the real problems that need to be solved, not to simply find technical solutions.

The M Tech programme in Data Science program covers specialized areas in the field of IT industry and research. The program focuses on technologies managing huge traditional and non-traditional data including temporal, spatial and multi-dimensional data. It also focuses on cloud computing concepts that feature subjects as well as projects that typically involve construction and experimentation with software prototypes.

Course Curriculum

Course Curriculum

Program Educational Objectives (PEOs)

Program Educational Objectives (PEOs)

The aim of the programme is to produce postgraduates with advanced knowledge and understanding of Data Engineering and Cloud Computing; higher order critical, analytical, problem solving and transferable skills; ability to think rigorously and independently to meet higher level expectations of ICT industry, academics, research establishments or take up entrepreneurial route.

The Programme Educational Objectives are to prepare the students to:

  • Be data scientists who can write programmes to process data for further analysis and use cloud computing technology
  • Pursue for higher degrees to work in colleges, universities as professors or as scientists in research establishments
  • Act as administrators in public, private and government organizations with further training
  • Be conversant with environmental, legal, cultural, social, ethical, public safety issues
  • Work as a member of a team as well as lead a team
  • Communicate effectively across team members and work under constraints
  • Set his/her own enterprise with further training
  • Adopt lifelong learning philosophy for continuous improvement

Programme Outcomes (POs)

Program Outcomes (POs)

After undergoing this programme, a student will be able to:

  • Build, approve, and test models. For example, recommendations, predictive models.
  • Wrangling, parsing, munging, transforming and cleaning data
  • Mining and analyzing the data, for example, summary statistics, Exploratory Data Analysis (EDA),Gaining data
  • Tuning and enhancing models or deliverables
  • Use technologies like distributed computing, cloud computing and other upcoming technologies
  • Lead a team to ensure that projects are completed satisfactorily, on time, and within budget
  • Conform to cultural, environmental, sustainability and ethical issues
  • Communicate across teams verbally, visually and by writing and manage the systems
  • Choose appropriate online educational programmes for further learning, participate in seminars and conferences

Career Opportunities

Career Opportunities

The students completing M Tech in Data Science will have plenty of career opportunities in several institutions, organizations and multinational companies. This broader area includes

Business Analyst

Business Intelligence Manager

Database administrator

Data_Analytics Manager

Eligibility Criteria

Eligibility Criteria
  • B E / B Tech in ECE / CSE / ISE / TE / MCA / M Sc in Computer Science or Mathematics or Information Science or Information Technology with a minimum of 50% (45% in case of SC/ST) marks in aggregate of any recognized University / Institution or AMIE or any other qualification recognized as equivalent there to.

Course Duration: 4 Semesters (2 Years)


How to Apply?


Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bangalore - 560064, Karnataka

+91-95388 74444 080-46966966

Application Fee

M.Tech in Data Sciences

Indian / SAARC Nationals 1000
NRI Fee 2000
Foreign Nationals 50