B.Tech CSE Data Science

Jain University

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Eligiblity

Student must have passed in 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.

The digitalisation of data storage and the increase in use of the internet have led to a massive boom in the amount of data produced across the world today. Business organisations that manage huge volumes of information on a regular basis have discovered that valuable insights can be extracted from data which can help make informed business decisions. These developments have carved out data science as a unique area in IT domain. Data science deals with principles, tools and techniques that can help quickly segregate information and draw insights that can help in setting strategies and making decisions. There is growing demand for professionals who have knowledge in this specialty which has led Jain University to come up with advanced B.Tech (Hons.) in CSE with specialisation in Data Science programme.

The B.Tech (Hons.) in CSE with Specialisation in Data Science is designed to include core subjects of computer science along with speciality subjects that create a strong foundation of knowledge in data science.

  • Learn the fundamentals of data structures, computer organisation and database management systems
  • Get introduced to concepts of data visualisation, analysis algorithm and inferential statistics
  • Gain comprehensive knowledge in machine learning algorithms, big data analysis and exploratory data analysis
  • Gain practical learning experience in Linux and NoSQL databases

 Course Duration
4 years (Full time)
AICTE approved

Jain University is one of the reputed colleges in Bangalore for pursuing professional graduate and post graduate courses. The university offers hands-on B-Tech, MBA, MCA, MMS, MSc, BCA, BMS full time learning programmes. Jain University (formerly known as Sri Bhagawan Mahaveer Jain College, SBMJC), is a leading higher education institution, deemed-to-be university under Section 3 of the UGC Act, 1956 by the Ministry of Human Resource Development of the Union Government, vide notification No.F-9-57/2007-U.3 (A) Ministry of HRD, GOI December 19, 2008 & July 24, 2009. Jain University has consistently ranked among the top universities in India by India Today’s – Best universities survey. Jain University is promoted by the Jain University Trust. The Jain University Trust is managed by the JGI Group, headquartered at Bangalore, which represents a cluster of 85 vibrant educational establishments. Founded 25 years ago, the Group is today home to over 51600 students and 6450 staff members, engaged at the P – 12, undergraduate & postgraduate levels across 64 campuses and centres of excellence.

Student must have passed in 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.

Curriculum*

Semester I
  • Mathematics for Data Scientist -I
  • Sociology and Elements of India0n History for Engineers
  • Basics of Civil and Mechanical Engineering
  • Probability & Statistics – I
  • Introduction to Data Analytics using Excel
  • Introduction to Information Science
  • Information Science Laboratory
  • Workshop Laboratory
  • Value Education Human Right and Legislative problems
Semester II
  • Mathematics for Data Scientist -II
  • Law for Engineers
  • Basics of Electrical and Electronics
  • Probability & Statistics – II
  • Linear Algebra
  • Computer Programming
  • Computer Programming Laboratory
  • Electrical and Electronics Laboratory
  • Environmental Studies
Semester III
  • Mathematics for Data Scientist -III
  • Economic for Engineering
  • Data Structures
  • Computer Organisation and Architecture
  • Object Oriented Programming with Java
  • RDBMS
  • Data Structures Laboratory
  • Object Oriented Programming with Java Laboratory
  • RDBMS Laboratory
  • Energy Studies
Semester IV
  • Operating System
  • Analysis of Algorithm
  • Data Visualization (Tool Based)
  • Introduction to SQL (Tool Based)
  • NoSQL Databases
  • Business Communication and Presentation skill / Professional Ethics
  • Scientific Programming using R (Tool Based)
  • Linux Laboratory
  • NoSQL Databases Laboratory
Semester V
  • Inferential Statistics (Tool Based)
  • Advance SQL
  • Big Data Analysis – I
  • Machine Learning Algorithms – I
  • Optimization Techniques
  • Artificial Intelligence
  • Advance SQL Laboratory
  • Machine Learning Algorithms – I Laboratory
  • Big Data Analysis – I Laboratory
Semester VI
  • Exploratory Data Analysis (Tool Based)
  • Big Data Analysis – II
  • Machine Learning Algorithms – II
  • Time Series Analysis (Tool Based)
  • Elective – I
  • Elective – II
  • Elective – I Laboratory
  • Big Data Analysis – II Laboratory
  • Machine Learning Algorithms – II Laboratory

Elective – I

  • Cloud Management System
  • Cloud Web Services
  • Cloud Solution Management

Elective – II

  • Natural Language Processing
  • Neural Networks
  • Recommender System
Semester VII
  • Dimensionality Reduction and Model Validation(Tool Based)
  • Advance Machine Learning Algorithms (Tool Based)
  • Data Science Project Management
  • Latest Trends in Data Science
  • Open Elective-I
  • Open Elective-II
  • Mini Project
Semester VIII
  • Open Elective-III
  • Open Elective-IV
  • Internship/ Project work –II

* Subject to changes made by university

Multiple Job Opportunities

B.Tech CSE Data Science paves way for the following job opportunities:

  • Data Engineer
  • Citizen Data Scientist
  • Enterprise Data Analyst
  • Machine Learning Engineer
  • Data Management Lead
  • Data Scientist
  • Enterprise Sr. Data Analyst
  • Sr. Engineer – Machine Learning
  • Data Architect
  • Lead Data Scientist
  • Enterprise Data Manager
  • Technical Lead / Technical
  • Manager / Project Manager
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