Enquire Now
Enquire Apply
>

COURSE OVERVIEW

The Artificial Intelligence and Data Science has shown high growth in the last few years so at the apollo University for the B. Tech CSE (AI & DS) students, mainly focuses on various courses that deals with core technologies like, Machine Learning, Artificial Intelligence, Data warehouse, Data Mining, Scripting Language, Product Development, Mathematical modelling. The Students can acquire skills to perform decisions based on data analysis and gains depth subject knowledge on statistics, data science, computer science and logic as data science is connected with artificial intelligence through machine learning. The students have an opportunity to make them ready to fit for the industry and can start their career as data scientists, data analysts.

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

PROGRAM HIGHLIGHTS

AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
Actionable fore sight, Insight, hind sight from data for solving business and engineering problems.
The theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems.

Programme Curriculum

  • 3 Week Induction Programme
    Course Code Course Name Periods
    per week
    Credits
    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
    Lab
    0 0 3 1.5
    TOTAL 15 3 6 21
  • Course Code Course Name Periods
    per week
    Credits
    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
    Lab
    0 0 2 1
    BTAL1301 Data Structures Lab 0 0 2 1
    BTAL1302 Python Programming Lab 0 0 2 1
    TOTAL 18 4 6 22
  • Course Code Course Name Periods
    per week
    Credits
    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
  • Course Code Course Name Periods
    per week
    Credits
    L T P
    BTAT2702 Deterministic     Stochastic     and     Statistical
    Methods
    3 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
  • 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 week
    Credits
    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
    Code
    Course Name Course
    Code
    Course Name
    BTAT3401a Object Oriented Analysis and
    Design
    BTAT3601a Software Testing
    Methodologies
    BTAT3401b Software Engineering BTAT3601b Distributed Computing
    BTAT3401c Artificial Intelligence BTAT3601c Advanced Java Programming
    BTAT3401d Computer Organisation and
    Architecture
    BTAT3601d 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 Calculus

     

    BTAT3401j Numerical Methods for
    Engineers
    BTAT3401k Mathematical Foundations of
    Cyber Security
    BTAT3401l Information Retrieval Systems
    BTAT3401m Cryptography and Network
    security
    BTAT3401n Principles of Programming
    Languages
    BTAT3401o Unix and Shell Programming
    BTAT3401p Introduction to Psychology
    BTAT3401q Industry 4.O
    BTAT3401r Computer Vision
  • 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 week
    Credits
    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
    Code
    Course Name Course
    Code
    Course Name
    BTAT3402a Design Patterns BTAT3602a Image Processing
    BTAT3402b Cyber Security BTAT3602b Cryptography & Network
    security
    BTAT3402c 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
    Science
    BTAT3603e Software Requirements
    Management
    BTAT3402l Transforms and Boundary Value
    Problems
    BTAT3402m 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
  • 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 week
    Credits
    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
    Code
    Course Name Course
    Code
    Course Name
    BTAT4601a Social Network Analysis BTAT4602a Software Project Management
    BTAT4601b AI in Block Chain BTAT4602b Health Analytics
    BTAT4601c Sequential Malware Analysis in
    Data Science
    BTAT4602c Business Intelligence and
    Analytics
    BTAT4601d Social Media Analytics BTAT4602d Image and Video Analytics
    BTAT4601e Financial Analytics BTAT4602e Machine Learning for Security
  • 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 week
    Credits
    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