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B.Tech. CSE with Specialization in Data Science

Why take this course?

B.Tech in Data Science - The advent of the internet has expanded the digital technology landscape. Our every action online leave a footprint in the digital form. This has completely transformed the business world at a rapid speed. There is a massive explosion of data on daily basis, which is helping organizations to monitor the behavior of their customers. As a result, organizations are giving more prominence for extracting valuable insights from the information available and the responsibility is mainly handled by data science professionals. It has generated an enormous scale of job opportunities for data science professionals in the market. In order to meet this demand, Jain University is offering B.Tech (Hons.) in CSE with specialization in Data Science, which helps students find better jobs in this sector.

What will I experience?

  • Learn a set of data science principles, tools, and techniques to solve real-world business problems and also suggest a suitable solution with relevant findings.
  • Recognize various issues in everyday business; apply data science for better understanding of data-driven management decisions to help organizations get an edge over competition
  • Provide insight into leading analytic practices, design and lead iterative learning and development cycles. Knowledge on producing new and creative analytic solutions that will become part of any business core deliverables
  • Knowledge on how to improve business results by building data fuelled products that help their customers.

What opportunities might it lead to?

According to NASSCOM, the big data analytics market will reach $16 billion by the year 2025 growing eightfold from its market worth in 2016. And India will require over 200,000 data scientists by 2018 as per various industry insights.

Some of the designations, which students can look forward to in organizations are:

  • Data Engineer
  • Citizen Data Scientist
  • Enterprise Data Analyst
  • Machine Learning Engineer

 

Degree Awarded

Bachelor of Technology

Course Commencement

June 2017

Eligibility

Student must have passed 10+2 or equivalent examination with Physics, Mathematics and English as compulsory subjects along with Chemistry or Biotechnology or Biology or any technical vocational subjects as optional with a minimum of 60% marks (55% in case of SC/ST) taken together in Physics, Mathematics and any one of the optional subjects.

Study Campus

Admission Office



Curriculum Structure & Teaching

I & II Semesters

Physics Cycle

  • Applied Engineering Mathematics -I
  • Applied Physics
  • Applied Physics - Lab
  • Basics of Civil Engineering
  • Basics of Mechanical Engineering
  • Engineering Graphics
  • Workshop Practice
  • Sociology and Elements of Indian History for Engineers
  • Value Education Human Right and Legislative Problems

Chemistry Cycle

  • Mathematics for Engineering II
  • Applied Chemistry
  • Applied Chemistry – Lab
  • Basics of Electronics Engineering
  • Basics of Electrical Engineering 
  • Problem Solving Through Programming
  • Electrical and Electronics – Lab
  • Problem Solving through Programming – Lab
  • Communicative English
  • Environmental Studies
III Semester
  • Statistics and Probability – I
  • Economics for Engineering
  • Data Structures
  • Object Oriented Programming with Java
  • RDBMS
  • Analysis & design of algorithms 
  • Object Oriented Programming with Java Lab
  • RDBMS Lab

IV Semester
  • Operating System 
  • Statistics and Probability - II
  • Data Visualization (Tool Based)
  • Data Analytics using SQL (Tool Based)
  • Linear Algebra
  • NoSQL Databases (Tool Based)
  • Business Communication and Presentation skills
  • Scientific Programming using R Lab
  • Linux Lab

V Semester
  • Inferential Statistics
  • Advance Data Analytics using SQL
  • Big Data Analysis - I
  • Machine Learning Algorithms - I
  • Optimization Techniques
  • Python Programming for Data Scientist (Tool Based)
  • R Programming Language
  • Advance Data Analytics using SQL Lab
  • Machine Learning Algorithms - I Lab
  • Big Data Analysis - I Lab

VI Semester
  • Exploratory Data Analysis
  • Big Data Analysis - II
  • Machine Learning Algorithms - II
  • Time Series Analysis (Tool Based)
  • Artificial Intelligence
  • Elective - I
  • Elective - II
  • Elective - I Lab
  • Big Data Analysis - II Lab
  • Machine Learning Algorithms - II Lab  

VII Semester
  • Dimensionality Reduction and Model Validation
Elective – III
  • Deep Learning
  • Advance Optimization Techniques
  • Big Data Analytics on Cloud
Elective – IV
  • Advance Machine Learning Algorithms
  • Artificial Intelligence Algorithms
  • Advance Data Visualization
Elective – V
  • Data Science Project Management
  • Software Engineering
  • Agile Methodology
Elective – VI
  • Latest Trends in Data Science
  • Advance Statistical Modeling
  • Real time Data Processing
Open Elective – I
  • Software Engineering
  • Data Structure & Algorithms
Open Elective – II
  • Cloud Computing
  • Programming In Java

Note: VII Semester Vacation Internship Can be continued in VIII Semester.


VIII Semester
Open Elective – III
  • Information Security Basics
  • Big Data Analysis
Open Elective – IV
  • Sensor Technologies
  • Wireless Communication