COURSE OVERVIEW
Program Objectives
- To empower the students with knowledge through experiential learning.
- To provide individual attention and enable character building.
- To make students strong in data processing, data analysis, data visualisations.
- To create a conducive ambience for learning through the latest cutting-edge technologies with collaboration of industries.
- To enhance the student knowledge to become ready to fit as per industry needs.
Industry Leader Speak
In the twenty-first century, data science is regarded as a best career. It is simply the study of mathematics, statistics, and computer science to extract information from structured and unstructured data. They are all crucial for the administration of digital data collection to be successful. The data scientist puts a lot of effort into shifting through a mountain of data to find relevant information and identify patterns and designs that can be utilized to pinpoint future goals and objectives. This demonstrates why data science matters and data scientists are becoming more well-known and significant. Data science is now more important than ever. The reason for this is data transformation. In the past, the data was in a structured format, was compact, and could be processed by straightforward BI tools.
Srinivas Middekurva
Senior Associate Consultant
Infosys
PROGRAM HIGHLIGHTS
Programme Curriculum
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Semester - I +
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3 Week Induction Programme Course Code Course Name Periods
per weekCredits L T P BTAT1701 Engineering Physics 3 1 0 4 BTAT1702 Engineering Mathematics 3 1 0 4 BTAT1801 Problem Solving and Programming with C 3 1 0 4 BTAT1101 Communicative English 3 0 0 3 BTAT1201 University Elective I 3 0 0 3 BTAL1701 Engineering Physics Lab 0 0 3 1.5 BTAL1801 Problem Solving and Programming with C
Lab0 0 3 1.5 TOTAL 15 3 6 21
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Semester - II +
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Course Code Course Name Periods
per weekCredits L T P BTAT1703 Probability & Statistics 3 1 0 4 BTAT1802 Basic Electrical and Electronics Engineering 3 1 0 4 BTAT1301 Data Structures 3 1 0 4 BTAT1302 Python Programming 3 1 0 4 BTAT1102 Environmental Studies 3 0 0 0 BTAT1202 University Elective II 3 0 0 3 BTAL1802 Basic Electrical and Electronics Engineering
Lab0 0 2 1 BTAL1301 Data Structures Lab 0 0 2 1 BTAL1302 Python Programming Lab 0 0 2 1 TOTAL 18 4 6 22
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Semester - III +
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Course Code Course Name Periods
per weekCredits L T P BTAT2701 Discrete Mathematics and Graph Theory 3 1 0 4 BTAT2301 Design and Analysis of Algorithms 3 1 0 4 BTAT2302 Object Oriented Programming through Java 3 0 0 3 BTAT2801 Digital Logic design 3 0 0 3 University Core – III 3 0 0 3 University Elective -III 3 0 0 3 BTAT2303 Constitution of India 3 0 0 0 BTAL2301 Java Programming Lab 0 0 2 1 BTAL2801 Digital Logic Design Lab 0 0 2 1 TOTAL 21 2 4 22
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Semester - IV +
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Course Code Course Name Periods
per weekCredits L T P BTAT2702 Deterministic Stochastic and Statistical
Methods3 1 0 4 BTAT2901 Management for Engineers 3 0 0 3 BTAT2501 Software Engineering 3 0 0 3 BTAT2304 Database Management Systems 3 0 0 3 BTAT2305 Operating Systems 3 1 0 4 BTAT2502 Computer Organization and Architecture 3 0 0 3 BTAT2306 Universal Human Values 3 0 0 0 BTAL2302 Database Management Systems Lab 0 0 2 1 BTAL2501 Exploratory Data Analytics with R lab 0 0 2 1 BTAI2301 Internship – I will be Evaluated in V Sem – – – – TOTAL 21 2 4 22
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Semester - V +
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Value Added Courses Course Code Course Name BTAA0001 Getting Started with Google Cloud Learning Path BTAA0002 Fundamentals of Data Analytics BTAA0003 Introduction to Blockchain Technology BTAA0004 Oracle Cloud Infrastructure Architect V – Semester Course Code Course Name Periods
per weekCredits L T P BTAT3501 Machine Learning 3 0 0 3 BTAT3301 Computer Networks 3 0 0 3 BTAT3302 Automata and Compiler Design 3 1 0 4 BTAT3401 Faculty Elective – I 3 0 0 3 BTAT3601 Programme Elective – I 3 0 0 3 BTAM3501 MOOC – I 0 0 0 3 BTAL3501 Machine Learning Lab 0 0 2 1 BTAL3502 Computer Networks Lab 0 0 2 1 BTAI3301 Internship-I Evaluation 0 0 4 2 TOTAL 15 1 8 23 Faculty Elective -I Program Elective -I Course
CodeCourse Name Course
CodeCourse Name BTAT3401a Object Oriented Analysis and
DesignBTAT3601a Software Testing
MethodologiesBTAT3401b Software Engineering BTAT3601b Distributed Computing BTAT3401c Artificial Intelligence BTAT3601c Advanced Java Programming BTAT3401d Computer Organisation and
ArchitectureBTAT3601d Network Security BTAT3401e Software Engineering BTAT3601e Database Security BTAT3401f Advanced Data Structures BTAT3401g Data Warehousing and Mining BTAT3401h Machine Learning BTAT3401i Differential Equations and
Vector CalculusBTAT3401j Numerical Methods for
EngineersBTAT3401k Mathematical Foundations of
Cyber SecurityBTAT3401l Information Retrieval Systems BTAT3401m Cryptography and Network
securityBTAT3401n Principles of Programming
LanguagesBTAT3401o Unix and Shell Programming BTAT3401p Introduction to Psychology BTAT3401q Industry 4.O BTAT3401r Computer Vision
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Semester - VI +
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Value Added Courses Course Code Course Name BTAA0005 Database Engineer Learning Path BTAA0006 Big Data Foundation Course BTAA0007 Programming Basics for Blockchain Engineers BTAA0008 Oracle Cloud Security Administrator VI – Semester Course Code Course Name Periods
per weekCredits L T P BTAT3502 Natural Language Processing 3 0 0 3 BTAT3503 Data Warehousing and Mining 3 0 0 3 BTAT3402 Faculty Elective – II 3 0 0 3 BTAT3602 Programme Elective – II 3 0 0 3 BTAT3603 Programme Elective – III 3 0 0 3 BTAM3502 MOOC – II 0 0 0 3 BTAL3503 Natural Language Processing lab 0 0 2 1 BTAL3504 Data Warehousing and Mining lab 0 0 2 1 — Internship – II will be Evaluated in VII Sem TOTAL 15 0 4 20 Faculty Elective -II Program Elective -II Course
CodeCourse Name Course
CodeCourse Name BTAT3402a Design Patterns BTAT3602a Image Processing BTAT3402b Cyber Security BTAT3602b Cryptography & Network
securityBTAT3402c Software Project management BTAT3602c Deep Learning BTAT3402d Linux Programming BTAT3602d Distributed Databases BTAT3402e Cloud Computing BTAT3602e Database Administration BTAT3402f Mobile Computing Program Elective -III BTAT3402g Image Processing BTAT3603a High Performance Computing BTAT3402h Deep learning BTAT3603b Software Project Management BTAT3402i E-Commerce BTAT3603c MERN Technologies BTAT3402j Block Chain Technology BTAT3603d Network Programming BTAT3402k Mathematical Foundations of Data
ScienceBTAT3603e Software Requirements
ManagementBTAT3402l Transforms and Boundary Value
ProblemsBTAT3402m Optimization Techniques BTAT3402n Information Security BTAT3402o Ethical Hacking BTAT3402p Internet of Things BTAT3402q Embedded Systems BTAT3402r Green Computing BTAT3402s Cloud Security BTAT3402t DevNet BTAT3402u Advanced computer networks BTAT3402v Network Security BTAT3402w Fault Tolerant Systems BTAT3402x Computational Intelligence BTAT3402y Data Analytics with Tableau
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Semester - VII +
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Value Added Courses Course Code Course Name BTAA0009 Data Analyst Learning Path BTAA0010 BDA Foundation BTAA0011 Blockchain Essentials BTAA0012 Oracle Cloud Operations Engineer VII – Semester Course Code Course Name Periods
per weekCredits L T P BTAT4501 Big Data Analytics 3 0 0 3 BTAT4502 Neural Networks and Deep Learning 3 0 0 3 BTAT4601 Programme Elective – IV 3 0 0 3 BTAT4602 Programme Elective – V 3 0 0 3 BTAM4501 MOOC – III 0 0 0 3 BTAP4301 Mini Project 0 0 2 1 BTAL4501 Big data Analytics lab 0 0 2 1 BTAL4502 Neural Networks and Deep Learning lab 0 0 2 1 BTAI4301 Internship – II Evaluation 0 0 4 2 TOTAL 12 0 10 20 Program Elective -IV Program Elective -V Course
CodeCourse Name Course
CodeCourse Name BTAT4601a Social Network Analysis BTAT4602a Software Project Management BTAT4601b AI in Block Chain BTAT4602b Health Analytics BTAT4601c Sequential Malware Analysis in
Data ScienceBTAT4602c Business Intelligence and
AnalyticsBTAT4601d Social Media Analytics BTAT4602d Image and Video Analytics BTAT4601e Financial Analytics BTAT4602e Machine Learning for Security
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Semester - VIII +
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Value Added Courses Course Code Course Name BTAA0013 BI and Analytics with Looker BTAA0014 Big Data Technology BTAA0015 Certified Blockchain Developer VIII – Semester Course Code Course Name Periods
per weekCredits L T P BTAP4302 Project Work 0 0 24 12 BTAV4301 Comprehensive Viva-Voce 0 0 2 1 TOTAL 0 0 26 13
PROGRAM FEE AND SCHOLARSHIPS
Admission Fee (One-Time Fee) | ₹ 13,000 |
1st Year | ₹ 2,35,000 |
2nd Year | ₹ 2,35,000 |
3rd Year | ₹ 2,35,000 |
4th Year | ₹ 2,35,000 |
Total Course Fee | ₹ 9,53,000 |
Scholarship is available for eligible students
Eligibility
Candidates must secure 50% in Physics, Chemistry and Mathematics of Intermediate or in the diploma course or must have appeared for Class 12 or equivalent examination with Physics, Chemistry, and Mathematics as major subjects from any recognized board. Candidates who have completed or qualified the final year of diploma in engineering courses are also eligible Candidates must not exceed the age of 24 years and the minimum age for applying is 17 years as on 31st December of Calendar Year.
Lateral Entry
Total Course Duration | You Will Join In | Seats Available | Education Qualification |
---|---|---|---|
3 Years | 2nd Year | 6 | A three-year engineering diploma in Computer Science program from a recognized institute. The candidateso must have secured at least 50% marks in their diploma program. |
EMPLOYABILITY AREAS
The IT graduates can explore the employment opportunities in various public and private sectors. They mostly acquire the following positions:
- Data Scientist.
- Machine Learning Engineer.
- Robotics scientist
- AI Data analyst
- AI Engineer
- Business Intelligence Developer