. B.TECH – DATA SCIENCE
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B.TECH – DATA SCIENCE at NU

B.TECH – DATA SCIENCE

Our daily lives generate more data than ever before due to adoption of digital technologies. With the advent of IoT (Internet of Things) and Industry 4.0, the volume of data is growing at an exponential rate. And in that wealth of data lie insights that can be used to change our world for the better. This has led to the matured discipline of Data Science which involves collection, visualization, processing and modelling of large and complex data sets from different domains.

The B.Tech. in Data Science is a 4-year undergraduate programme that prepares the students to acquire, manage, and elicit meaning from data for improved decision-making in the business world.  NU's B.Tech in Data Science program will give students the knowledge, skills and tools needed to handle complex data from all possible domains.

Students are required to complete a total of 176 credits spread over 39 Courses and 2 Capstone Projects, 1 R&D Project and 1 Industry Practice in Data Science and related subject areas to accomplish B.Tech. degree in Data Science.

NU has the unique advantage having offered Data Science related courses, specializations, and industry linked programs since 2014. Our alumni have excelled both in industry and academia and continue to make mark as able data scientists.

Innovative & Distinguishing Features of the B.Tech in Data Science Programme

  • The programme architecture and curriculum has been designed by a team of experienced faculty, data scientists, & industry subject matter experts. <give link to academic page>
  • The programme has strong Industry-Academic linkage – Data Science Capstone Project I & II, Data Science Research & Development Project, and 6 months Industry Practice in relevant organizations
  • Experienced Faculty adept in the area of Data Science and skilled in preparing industry ready B.Tech. Data Science specialists.
  • State of the art computing machines, software, and cloud services
  • Project/product-based learning through solving real world problem solving

Programme Outline

Semesters

8 (4 Years)

Basic Sciences (MBS)

20

Engineering Sciences (ESC)

14

Humanities and Social Science (HSS)

18

Professional Core Course (PCC)

28

Data Science Core Course (DS)

32

Professional Electives Course (PEC)

20

Open Electives Course (OEC)

12

Project Work, Internship and Industry Practice (PRJ)

32

Environmental Sciences (EVS)

Audit Course

Total Credits to be Earned

176

 

List of Professional Elective Courses in CCE

  • Social Media Analytics
  • Cloud Computing Concepts
  • Modeling & Simulation
  • Multimodal data processing & analysis
  • Numerical Methods for Data Science
  • Dimensional and NoSQL Databases
  • Cognitive Computing
  • Data Stream Mining
  • Data Integrity and Privacy
  • Deep Learning
  • Statistical Machine Learning
  • Artificial Intelligence
  • Data Mining
  • Computer Vision
  • Business Analytics
  • Predictive Modeling for Data Science
  • Big Data Concepts
  • Artificial Neural Network
  • Machine Learning
  • Information Retrieval
  • Web Intelligence and Algorithms


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