CSE-DS-Highlights

 

Programme objectives:

B. Tech in CSE with specialization in Data Science (DS) is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The emphasis is on core data science subjects along with the related computational mathematics, statistics, and computer science subjects. The program introduces students to the various application domains like finance, business, and healthcare wherein data science can be used to make informed decisions. The programme encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. 

With a cutting-edge combination of machine learning, analytics, and visualization technologies, students will be able to build intelligent machines, software, or applications The main goal of artificial intelligence (AI) and Data Science is to program computers to use example data or experience to solve a given problem.

This Program is best for students seeking expertise in Data Science and Data base management systems which will help them to take advantage of the new employment possibilities world-wide.
To Prepare graduates who can plan, design and manipulate the data with AI and machine learning mechanisms to build artificial intelligence enabled systems which mimic the human brain.

The first two years of this program begins with a set of introductory courses, like Mathematics, physics, English, computer languages (C,C++,Java), Database Management Systems, AI and DS which provide students with a firm foundation in mathematics, computer science, database systems as well as communication skills. These courses include weekly labs in which students use state-of-the art software development techniques to create solutions to interesting problems.

The last two years of study focuses on the concepts and techniques used in the design and development of advanced techniques in Data Science. In addition, students choose from a rich set of electives, which covers skills in demand. These advanced courses give broad opening for research and help them to choose specialization in their higher studies. A generous allotment of open electives allows students to learn foreign languages like French, German, Spanish; and it includes computing with a business focus. 

Students in this program pursue an inter-disciplinary course of study that combines strong foundation in computer science with a focus on interdisciplinary areas. This program is designed for students who seek to blend their computer science abilities with skills in demand and skills specific to Data Science domain to solve Societal problems in that domain.

Having completed this course, a student is prepared to work independently within a well-structured design frame work in the job and for higher studies in Computer Science, Data Science and allied domains
 

Highlights of the program 

The following courses are introduced in the curriculum in the area of Data Science

  • Introduction to Data Science

  • Introduction to Artificial Intelligence

  • Machine learning  (Theory and Lab)

  • R- Programming Lab

  • Business Intelligence (Theory and Lab)

  • Cloud Computing (Theory and Lab)

  • Big Data (Theory and lab)

  • Artificial Intelligence and Deep Learning (Theory and Lab)

  • Social Web and Mobile Analytics (Theory and Lab)

  • Predictive Analytics 


 

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