COURSE OVERVIEW
Artificial Intelligence and Data Science have shown high growth in the last few years, so The Apollo University for the B.Tech. CSE (AI & DS) students mainly focus on various courses that deal with core technologies like Machine Learning, Artificial Intelligence, Data warehouse, Data Mining, Scripting Language, Product Development and Mathematical modelling. The Students can acquire skills to perform decisions based on data analysis and gain in-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 become ready to fit the industry and can start their careers as data scientists and data analysts.
Programme 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 and data visualisations.
- To create a conducive ambience for learning through the latest cutting-edge technologies with the collaboration of industries.
- To enhance the students’ knowledge, they need to become ready to fit as per industry needs.
Industry Leader Speak
In the twenty-first century, data science is regarded as the 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 utilised to pinpoint future goals and objectives. This demonstrates why data science matters and why 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
PROGRAMME HIGHLIGHTS
Programme Curriculum
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Semester - I +
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3 Week Induction Programme Course Code Course Name Periods per week
Credits Hours per week L T P BTAT1701 Engineering Physics 3 1 0 4 4 BTAT1702 Engineering Mathematics 3 1 0 4 4 BTAT1801 Problem Solving and Programming with C 3 1 0 4 4 TAUT1101 University Core -I (Communicative English) 3 0 0 3 3 — University Elective I 3 0 0 3 3 BTAL1701 Engineering Physics Lab 0 0 3 1.5 3 BTAL1801 Problem Solving and Programming with C Lab 0 0 3 1.5 3 — IT Work shop 0 0 0 0 1 — Design Thinking 0 0 0 0 1 — Soft Skills 0 0 0 0 1 — Mentoring 0 0 0 0 1 — Technical Seminar 0 0 0 0 1 — Library 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Co-curricular activity 0 0 0 0 1 — Self-Learning 0 0 0 0 1 TOTAL 15 3 6 21 36
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Semester - II +
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Course Code Course Name Periods per week
Credits Hours per week L T P BTAT1703 Probability & Statistics 3 1 0 4 4 BTAT1802 Basic Electrical and Electronics Engineering 3 1 0 4 4 BTAT1301 Data Structures 3 1 0 4 4 BTAT1302 Python Programming 3 1 0 4 4 TAUT1102 University Core – II (Environmental Studies) 3 0 0 0 3 — University Elective II 3 0 0 3 3 BTAL1802 Basic Electrical and Electronics Engineering Lab 0 0 2 1 2 BTAL1301 Data Structures Lab 0 0 2 1 2 BTAL1302 Python Programming Lab 0 0 2 1 2 — Mentoring 0 0 0 0 1 — Co-curricular activity 0 0 0 0 1 — Self-Learning 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Library 0 0 0 0 1 TOTAL 18 4 6 22 36
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Semester - III +
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Course Code Course Name Periods per week
Credits Hours per week L T P BTAT2701 Discrete Mathematics and Graph Theory 3 1 0 4 4 BTAT2301 Design and Analysis of Algorithms 3 1 0 4 4 BTAT2302 Object Oriented Programming through Java 3 0 0 3 3 BTAT2801 Digital Logic design 3 0 0 3 3 TAUT2101 University Core – III (Health and Wellness) 3 0 0 3 3 — University Elective -III 3 0 0 3 3 BTAT2303 Constitution of India 3 0 0 0 3 BTAL2301 Java Programming Lab 0 0 2 1 2 BTAL2801 Digital Logic Design lab 0 0 2 1 2 — Mentoring 0 0 0 0 1 — Co-curricular activity 0 0 0 0 1 — Self-Learning 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Soft Skills Training 0 0 0 0 1 — Certification course 0 0 0 0 1 TOTAL 22 2 6 22 36
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Semester - III +
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Course Code Course Name Periods per week
Credits Hours per week L T P BTAT2307 Computer Organization and Architecture 3 1 0 4 4 BTAT2901 Management for Engineers 3 0 0 3 3 BTAT2501 Foundations of Data Science 3 0 0 3 3 BTAT2304 Database Management Systems 3 1 0 4 4 BTAT2305 Operating Systems 3 1 0 4 4 BTAT2502 Artificial Intelligence 3 0 0 3 3 BTAT2306 Universal Human Values 3 0 0 0 3 BTAL2302 Database Management Systems Lab 0 0 2 1 2 BTAL2501 Exploratory Data Analytics with R lab 0 0 2 1 2 — Internship – I * will be Evaluated in VIII- Sem
– – – – – — Mentoring 0 0 0 0 1 — Aptitude and Logical Reasoning 0 0 0 0 1 — Library 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Technical Seminar 0 0 0 0 1 TOTAL 21 2 4 23 36
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Semester - V +
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Course Code Course Name Periods per week
Credits Hours per week L T P BTAT3501 Machine Learning 3 0 0 3 3 BTAT3301 Computer Networks 3 0 0 3 3 BTAT3302 Automata and Compiler Design 3 1 0 4 4 — Faculty Elective – I 3 0 0 3 3 — Programme Elective – I 3 0 0 3 3 BTAM3501 MOOC – I 0 0 0 3 3 BTAT3303 Entrepreneurship and Start-up Management 3 0 0 0 3 BTAL3501 Machine Learning Lab 0 0 2 1 2 BTAL3301 Computer Networks Lab 0 0 2 1 2 — Mentoring 0 0 0 0 1 — Library 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Campus Recruitment Training 0 0 0 0 4 TOTAL 18 1 8 21 36
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Semester - VI +
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Course Code Course Name Periods per week
Credits Hours per week L T P BTAT3502 Natural Language Processing 3 0 0 3 3 BTAT3503 Data Warehousing and Mining 3 0 0 3 3 — Faculty Elective – II 3 0 0 3 3 — Programme Elective – II 3 0 0 3 3 — Programme Elective – III 3 0 0 3 3 BTAM3502 MOOC – II 0 0 0 3 3 BTAL3502 Natural Language Processing lab 0 0 2 1 2 BTAL3503 Data Warehousing and Mining lab 0 0 2 1 2 — Internship – II* will be Evaluated in VIII -Sem – – – – – — Mentoring 0 0 0 0 1 — Library 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Valued added courses 0 0 0 0 2 — Seminar 0 0 0 0 1 — Technical Training 0 0 0 0 3 — Self-Learning 0 0 0 0 2 TOTAL 15 0 4 20 36 Faculty Elective -II Course Code Course Name Course Code Course Name SOTT3402a Design Patterns SOTT3402q Embedded Systems SOTT3402b Cyber Security SOTT3402r Green Computing SOTT3402c Software Project management SOTT3402s Cloud Security SOTT3402d Agile Software Development SOTT3402t DevNet SOTT3402e Cloud Computing SOTT3402u Advanced computer networks SOTT3402f Mobile Computing SOTT3402v Network Security SOTT3402g Image Processing SOTT3402w Fault Tolerant Systems SOTT3402h Deep learning SOTT3402x Computational Intelligence SOTT3402i E-Commerce SOTT3402y Data Analytics with Tableau SOTT3402j
Block Chain Technology SOTT3402z Human Computer Interaction SOTT3402k
Mathematical Foundations of Data Science SOTT3402l
Transforms and Boundary Value Problems SOTT3402m Optimization Techniques SOTT3402n Information Security SOTT3402o Ethical Hacking SOTT3402p Internet of Things Program Elective -II Course Code Course Name BTAT3602a Image Processing BTAT3602b Cryptography & Network security BTAT3602c Deep Learning BTAT3602d Distributed Databases BTAT3602e Explainable Artificial Intelligence Program Elective -III Course Code Course Name BTAT3603a High Performance Computing BTAT3603b Generative AI BTAT3603c MERN Technologies BTAT3603d Network Programming BTAT3603e Software Requirements Management Value Added Courses Course Code Course Name BTAA0009 Data Analyst Learning Path BTAA0010 BDA Foundation BTAA0011 Blockchain Essentials BTAA0012 Oracle Cloud Operations Engineer
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Semester - VII +
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Course Code Course Name Periods per week
Credits Hours per week L T P BTAT4501 Big Data Analytics 3 0 0 3 3 BTAT4502 Neural Networks and Deep Learning 3 0 0 3 3 — Programme Elective – IV 3 0 0 3 3 — Programme Elective – V 3 0 0 3 3 BTAM4501 MOOC – III 0 0 0 3 3 BTAP4501 Mini Project 0 0 2 1 2 BTAL4501 Big data Analytics lab 0 0 2 1 2 BTAL4502 Neural Networks and Deep Learning lab 0 0 2 1 2 — Mentoring 0 0 0 0 1 — Library 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Valued added courses 0 0 0 0 1 — Seminar 0 0 0 0 1 — Technical Training 0 0 0 0 6 — Technical Paper Writing 0 0 0 0 1 TOTAL 12 0 10 20 36 Program Elective -IV Course Code Course Name BTAT4601a Social Network Analysis BTAT4601b AI in Block Chain BTAT4601c Malware Analysis in Data Science BTAT4601d Social Media Analytics BTAT4601e Financial Analytics Program Elective -V Course Code Course Name BTAT4602a Software Project Management BTAT4602b Health Analytics BTAT4602c Image and Video Analytics BTAT4602d Business Intelligence and 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
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Semester - VIII +
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Course Code Course Name Periods per week
Credits Hours per week L T P BTAP4502 Project Work 0 0 24 12 24 BTAI3501 Internship-I Evaluation# 0 0 0 2 0 BTAI4501 Internship – II Evaluation# 0 0 0 2 0 TOTAL 0 0 24 16 24
PROGRAMME FEE AND SCHOLARSHIPS
| One-Time Fee | Admission Fee | ₹ 7,000 |
| 1st Year | Tuition Fee + Annual Recurring Fee | ₹ 2,50,000 + ₹ 13,000 |
| 2nd Year | Tuition Fee + Annual Recurring Fee | ₹ 2,50,000 + ₹ 13,000 |
| 3rd Year | Tuition Fee + Annual Recurring Fee | ₹ 2,50,000 + ₹ 13,000 |
| 4th Year | Tuition Fee + Annual Recurring Fee | ₹ 2,50,000 + ₹ 13,000 |
| Total Course Fee | ₹ 10,59,000 |
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 | Students must have completed their three-year engineering diploma in ANY branch of Engineering and Technology from a recognized institute to apply for this program. They also must have secured at least 50% marks in their diploma program. |
EMPLOYABILITY AREAS
IT graduates can explore 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
MEET OUR STUDENTS
I am M. Bhargavi and I am currently pursuing a B.Tech. in Artificial Intelligence Data Science. I’m glad to be a part of Apollo University. The Apollo University aspires to create future global leaders, preparing them for a constantly evolving world. The university perfectly meets our needs. The campus life provides Clubs, Events, Good Facilities, a Library, a Cafeteria, Digital Classrooms, etc. The university provides the best faculty and highly qualified lecturers with the best and most understandable communication. The university also provides sports that are concerned with our physical health. I hope to do my best in the university.
M. Bhargavi
The Apollo University
MEET OUR STUDENTS
I, Bhargavi, am a student pursuing a B.Tech. CSE AI & DS at The Apollo University. I am delighted to be a part of this esteemed institution and its excellent infrastructure and environment. The faculty members are commendable in terms of their friendliness, helpfulness and hard work. Being a part of this University is a fantastic experience and I express my heartfelt gratitude to The Apollo University team for guiding me towards my goal.
D. Bhargavi
The Apollo University
MEET OUR STUDENTS
I’m Vekesh, a B.Tech. CSE (AI and DS) student. The Apollo University has been a delightful experience for me since day one. The university boasts advanced technology and an excellent study atmosphere. The faculty members are knowledgeable and supportive. Joining The Apollo University was a great decision for me.
Vekesh
The Apollo University
MEET OUR STUDENTS
My name is C. Monica and I attend The Apollo University, founded by Dr Pratap Chandra Reddy. It is an honour to be a part of this esteemed institution, where both students and staff feel privileged to work. The faculty supports students not only in their academic pursuits but also in improving their communication skills and logical thinking. Additionally, the university management encourages participation in non-academic activities such as sports, yoga and hiking, which help to maintain the physical and mental well-being of students.
Ceekala Monika
The Apollo University
MEET OUR STUDENTS
Currently pursuing my B.Tech. at The Apollo University, I feel privileged to be a part of this esteemed institution, blessed with highly knowledgeable, experience and supportive faculty who mentor me in my academic journey. With world-class infrastructure, state-of-the-art laboratories and an eco-friendly atmosphere, I feel rejuvenated every day. In addition to academics, the University provides various co-curricular activities, workshops, sports and clubs such as trekking, innovation and photography, where specialised lecturers guide us. Not only do we acquire technical expertise, but we also learn life skills to thrive in the corporate world. Being a part of The Apollo University has enriched me with valuable memories and learning experiences.
Sanjana N.C
The Apollo University
MEET OUR STUDENTS
I am B. Vishnu Vardhan is pursuing a B.Tech. (Al and DS) at The Apollo University. On my first day, I was excited and nervous since I didn’t know anyone and it was my first day. However, after 6 months, the University has transformed me into a professional student with its excellent structure, friendly faculty and support for assignments, homework and exams. The campus is surrounded by greenery and has dynamic classrooms, hi-tech labs, a pleasant library and well-maintained grounds. The hostel feels like a second home. Choosing The Apollo University has made me better every day.
B. Vishnu Vardhan
The Apollo University
MEET OUR STUDENTS
I am P. Narasimhulu, currently pursuing a Bachelor of Technology degree in Artificial Intelligence and Data Science. I am delighted to be studying at The Apollo University, where the faculty members are highly experienced and the infrastructure is impressive. Additionally, there are weekly sports and club activities. Notably, The Apollo University is investing 500 crores in an innovation centre for Artificial Intelligence and Machine Learning.
P. Narasimhulu
The Apollo University
MEET OUR STUDENTS
Hi, I’m Bindu Sree and I’m currently studying B.Tech. (CSE- AI & DS) at The Apollo University. One of the things I love about this college is its emphasis on individuality and creativity. The infrastructure is top-notch, with access to all necessary equipment and facilities. The faculty is excellent, with a wealth of knowledge in their respective fields. They not only focus on the curriculum but also encourage us to develop our inner wisdom. The environment at The Apollo University is both stress-free and friendly, making it a pleasure to be a part of this university. I feel incredibly fortunate to be a student at The Apollo University.
Bindu Sree
The Apollo University
MEET OUR STUDENTS
I’m Dheekshitha Reddy, a current student pursuing a Bachelor of Technology in Computer Science with a specialisation in Artificial Intelligence and Data Science at The Apollo University. The faculty members at The Apollo University are not only experienced but also friendly and supportive, guiding me through my academic journey with great care. I’ve had the opportunity to participate in various curricular and extracurricular activities that have not only enhanced my knowledge but also boosted my confidence. Overall, I am extremely grateful that I chose to join The Apollo University.
Dheekshitha Reddy
The Apollo University
MEET OUR STUDENTS
I’m KS Charan and I’m currently pursuing my Bachelor of Technology in Artificial Intelligence and Data Science at The Apollo University. I’m grateful to be a part of this university as it offers experienced faculty, professional education, advanced digital classes, well-equipped computer labs, library facilities and a beautiful campus surrounded by nature.
The faculty members at The Apollo University are extremely friendly and they always encourage me to participate in extracurricular activities and sports. They have helped me develop my skills, which are not only important in my academic life but also applicable to my personal life.
I firmly believe that studying at The Apollo University will provide me with the best education, knowledge and skills to achieve success in life. I am proud to be a part of this prestigious university and I am confident that it will help me reach new heights in my academic and personal pursuits.
K.S. Charan
The Apollo University
MEET OUR STUDENTS
My name is Rohit Kumar and I am currently studying for my B.Tech. in Computer Science Engineering with a focus on Artificial Intelligence and Data Science at The Apollo University. My time here has been nothing short of wonderful. The faculty members at The Apollo University are some of the most hardworking and helpful individuals I have ever encountered in my life. I feel incredibly fortunate to have the opportunity to learn from such inspiring and knowledgeable teachers who have guided me and helped me achieve my goals. Thank you to all the amazing faculty members at The Apollo University for making my academic journey so fulfilling and rewarding.
Rohit Kumar
The Apollo University
MEET OUR STUDENTS
I’m Mounika and I’m currently pursuing a B.Tech. degree at The Apollo University. I’ve had a wonderful experience studying here, thanks to the incredible support and guidance I’ve received from my faculty members. They have helped me enhance not only my academic skills but also my interpersonal skills. The university provides a plethora of opportunities, some of which are fun-filled and exciting, while others can be challenging and require hard work. But overall, I’m grateful for the experience and the knowledge that I’m gaining here.
Mounika
The Apollo University
FAQ
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Is B.Tech Data Science good? +
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Yes. B.Tech in Data Science offers strong career potential, graduates enter roles like Data Scientist, ML Engineer, or Business Analyst with starting salaries of ₹10–15 LPA, often rising to ₹35–40 LPA with experience. It combines programming, data analysis and domain knowledge, making it future‑proof.
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What are the subjects in B.Tech Data Science? +
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The programme typically includes:
- Machine Learning & Artificial Intelligence
- Data Mining, Big Data Analytics, Data Warehousing
- Programming (Python, SQL), Algorithms & Data Structures
- Deep Learning & NLP
- Cloud Computing, Product Development & Mathematical Modeling
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B.Sc AI or B.Tech AI – which is best? +
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A B.Tech in AI focuses on deeper technical knowledge of subjects like AI, ML, NLP, yielding higher starting salaries (~₹5–7 LPA). On the other hand, a B.Sc in AI programme typically combines core computer science principles with AI and machine learning concepts. For industry-readiness and future-ready roles, B.Tech is generally preferable.
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Are there scholarships for B.Tech AI and Data Science? +
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Yes. The Apollo University offers scholarships and financial aid for meritorious and economically disadvantaged students in its B.Tech AI & DS programme. Additionally, government scholarships and fee waivers may apply.
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Career Prospects after B.Tech AI and Data Engineering? +
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Graduates can become Data Scientists, AI/ML Engineers, Big Data Engineers, Data Analysts, Business Intelligence Developers, or AI Research Scientists. Demand spans IT, finance, healthcare, e-commerce and startups, with average roles starting around ₹5–10 LPA.
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What technologies are learned in B.Tech AI & Data Engineering? +
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Students learn:
- Programming: Python, R, Java
- Machine learning, deep learning, NLP
- Large-scale data processing: Hadoop, Spark
- Big Data, data warehousing, mathematical modeling
- Scripting, product development, cloud platforms & AI ethics
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Who is eligible for B.Tech AI and Data Science? +
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Candidates who have:
- 10+2 with Physics, Chemistry, Mathematics
- Minimum 50–75% aggregate marks
- JEE Main or university-specific entrance exams
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Is B.Tech in Artificial Intelligence good? +
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Yes. A B.Tech. in Artificial Intelligence is a good choice, particularly in today’s tech-driven world. It provides a strong foundation for a successful career in this field, with average salaries ₹12–18 LPA starting and potential up to ₹40 LPA.
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What is the fee for B.Tech in AI and Data Science? +
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At The Apollo University, the total fee for B.Tech CSE (AI & DS) is approximately ₹10.59 Lakh:
- One-time ₹7,000
- ₹2.63 Lakh per year over four years
Annual ranges at other institutions vary: ₹50,000–1.5 Lakh at govt, ₹2–7 Lakh at private/deemed colleges.
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Can I pursue AI without a Computer Science background? +
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Yes. A CS background isn’t mandatory to pursue an AI course. Candidates from Mathematics, Statistics, or Electronics can enter via bridge courses in programming and algorithms. Strong math and analytical skills are essential. Many programmes accommodate diverse academic backgrounds.