Department of Artificial Intelligence and Data science
Artificial Intelligence and Data Science
Artificial Intelligence (AI) is an interdisciplinary field that encompasses multiple approaches to developing intelligent systems, while Data Science (DS) is a multidisciplinary field that involves roles such as data analysts, decision scientists, and business intelligence developers. As data has become a valuable resource for almost every application, Data Science enables students to extract meaningful insights from large and complex datasets and develop the skills required to address real-world challenges.
The B.Tech. programme in Artificial Intelligence and Data Science offers a comprehensive blend of AI, Data Science, and their applications in real-world problem-solving and business intelligence. The curriculum provides a strong foundation in computer science and engineering, along with interdisciplinary knowledge in statistics, mathematics, logical reasoning, knowledge discovery, data visualization, and big data analytics. The programme is designed to equip students with the essential technical and analytical skills required to build successful careers in the rapidly evolving AI and Data Science domain.
HOD's MESSAGE
A Message from the Head of Department
Our students excel in academics, research, innovation, sports, entrepreneurship, and national competitions, making a meaningful impact both on campus and beyond.
Dr. A. Hanumat Prasad
Professor & Head, Dept.
Department of Artificial Intelligence & Data Science
Dr. A. Hanumat Prasad is a Professor and Head of the Department of CSE (Artificial Intelligence & Data Science). With over two decades of teaching and research experience in Computer Science and Engineering, he holds an M.Tech. and Ph.D. in Computer Science and Engineering.
His academic and professional journey reflects a strong commitment to excellence in teaching, research, and academic leadership. His areas of research interest include Computer Networks and Network Security. With more than 20 years of experience, he has made significant contributions to the academic and research community through his research work and publications in Scopus- and SCI-indexed journals, as well as other reputed international publications.
His expertise in these areas contributes to strengthening the academic curriculum and motivates students to explore emerging technologies, innovative ideas, and advanced research in the field of Computer Science and Engineering.
Vision Statement
To be a centre of excellence in Artificial Intelligence and Data Science education, research, and innovation, fostering industry collaboration and producing globally competent professionals with technical expertise and professional values to develop intelligent solutions for technology and society
Mission Statement
- To provide a robust foundation in Computer Science, Artificial Intelligence, and Data Science by delivering quality education aligned with global standards, integrating theoretical knowledge with practical skills in Mathematics and Statistics.
To equip students with advanced technical, analytical, problem-solving, and professional skills, enabling them to excel as AI and Data Science professionals, software developers, researchers, and lifelong learners.
To cultivate ethical behavior, leadership qualities, social responsibility, and global competence among students, fostering a commitment to societal well-being and professional excellence.
B.Tech - Artificial Intelligence & Data Science
Program Education Objective(PEOs)
PEO1: Exhibit strong foundation of knowledge and skills in Artificial Intelligence, Data Science, and Computer Science, equipped to address complex challenges and contribute to the advancement of technology in a rapidly evolving world.
PEO2: Apply engineering principles and advanced knowledge in Artificial Intelligence and Data Science to collaborate and design innovative intelligent and data-driven solutions, integrating emerging technologies to meet industry and societal needs.
PEO3: Communicate effectively, demonstrate professionalism, collaboration, ethical attitude, and team spirit, and pursue lifelong learning to adapt to emerging technologies and achieve career, organizational, and societal goals.
Program Specific Outcomes
PSO1: Graduates will be able to apply programming, computer science, mathematics, and statistical concepts to analyze and solve real-world engineering problems using appropriate computational techniques.
PSO2: Graduates will be able to design, develop, and implement Artificial Intelligence and Data Science solutionsusing machine learning, data analytics, data visualization, and modern computational tools.
PSO3: Graduates will be able to apply modern software tools and emerging technologies to develop innovative, efficient, and socially relevant data-driven solutions for industry and entrepreneurship.
Curriculum
Click on a course name below for viewing the course description and course outcomes.
1st Semester
2nd Semester
1st Semester
I Semester
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | BS&H | Discrete Mathematics & Graph Theory | 3 | 0 | 0 | 3 |
| 2 | BS&H | Universal Human Values – Understanding Harmony and Ethical Human Conduct | 2 | 1 | 0 | 3 |
| 3 | Engineering Science | Database Management Systems | 3 | 0 | 0 | 3 |
| 4 | Professional Core | Advanced Data Structures & Algorithms Analysis | 3 | 0 | 0 | 3 |
| 5 | Professional Core | Object Oriented Programming Through Java | 3 | 0 | 0 | 3 |
| 6 | Professional Core | Advanced Data Structures and Algorithms Analysis Lab | 0 | 0 | 3 | 1.5 |
| 7 | Professional Core | Object Oriented Programming Through Java Lab | 0 | 0 | 3 | 1.5 |
| 8 | Skill Enhancement Course | Python Programming | 0 | 0 | 3 | 1.5 |
| 9 | Audit Course | Environmental Science | 2 | 0 | 0 | 0 |
| Total | 15 | 2 | 10 | 20 | ||
2nd Semester
II Semester
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | Management Course-I | Optimization Techniques | 2 | 0 | 0 | 2 |
| 2 | Engineering Science / Basic Science | Statistical Methods for Data Science | 3 | 0 | 0 | 3 |
| 3 | Professional Core | Operating Systems | 3 | 0 | 0 | 3 |
| 4 | Professional Core | Introduction to Data Science | 3 | 0 | 0 | 3 |
| 5 | Professional Core | Software Engineering | 3 | 0 | 0 | 3 |
| 6 | Professional Core | Operating Systems Lab | 0 | 0 | 3 | 1.5 |
| 7 | Professional Core | Data Science Using Python Lab | 0 | 0 | 3 | 1.5 |
| 8 | Skill Enhancement Course | Full Stack Development - I OR Any of the APSCHE Offered Skill-Oriented Courses | 0 | 1 | 2 | 2 |
| 9 | BS&H | Design Thinking & Innovation | 0 | 1 | 2 | 2 |
| Total | 15 | 2 | 10 | 21 | ||
Mandatory Community Service Project Internship of 08 weeks duration during summer vacation.
1 Credit
1st Semester
I Semester
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | Professional Core | Artificial Intelligence | 3 | 0 | 0 | 3 |
| 2 | Professional Core | Computer Networks | 3 | 0 | 0 | 3 |
| 3 | Professional Core | Computer Organization and Architecture | 3 | 0 | 0 | 3 |
| 4 | Professional Elective-I | Select ONE of the following: | 3 | 0 | 0 | 3 |
| 5 | Open Elective-I | Entrepreneurship Development & Venture Creation | 3 | 0 | 0 | 3 |
| 6 | Professional Core | Artificial Intelligence Lab | 0 | 0 | 3 | 1.5 |
| 7 | Professional Core | Computer Networks Lab | 0 | 0 | 3 | 1.5 |
| 8 | Skill Enhancement Course | Full Stack Development-2 | 0 | 1 | 2 | 2 |
| 9 | ES | User Interface Design using Flutter | 0 | 0 | 2 | 1 |
| 10 | Internship Evaluation | Evaluation of Community Service Project Internship | — | — | — | 2 |
| Total | 15 | 1 | 10 | 23 | ||
Minor & Honors Courses
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | MC | Student may select from the same Minor Pool | 3 | 0 | 3 | 4.5 |
| 2 | MC | Minor Course through SWAYAM / NPTEL Minimum 12-week, 3-credit course | 3 | 0 | 0 | 3 |
| 3 | HC | Student may select from the same Honors Pool | 3 | 0 | 0 | 3 |
| 4 | HC | Student may select from the same Honors Pool | 3 | 0 | 0 | 3 |
2nd Semester
II Semester
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | Professional Core | Big Data Analytics | 3 | 0 | 0 | 3 |
| 2 | Professional Core | Machine Learning | 3 | 0 | 0 | 3 |
| 3 | Professional Core | Data Visualization | 3 | 0 | 0 | 3 |
| 4 | Professional Elective-II | Select one of the following: | 3 | 0 | 0 | 3 |
| 5 | Professional Elective-III | Select one of the following: | 3 | 0 | 0 | 3 |
| 6 | Open Elective-II | Open Elective-II | 3 | 0 | 0 | 3 |
| 7 | Professional Core | Data Visualization and Machine Learning Lab | 0 | 0 | 3 | 1.5 |
| 8 | Professional Core | Big Data Analytics Lab | 0 | 0 | 3 | 1.5 |
| 9 | Skill Enhancement Course | Soft Skills | 0 | 1 | 2 | 2 |
| 10 | Audit Course | Technical Paper Writing & IPR | 2 | 0 | 0 | — |
| Total | 20 | 1 | 8 | 23 | ||
Industry Internship / Mini Project
Mandatory Industry Internship / Mini Project of 08 weeks duration during summer vacation.
SWAYAM Plus Opportunity: Under the Industry Internship, interested students can pursue the following courses:
Minor & Honors Courses
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | MC | Student may select from the same Minor's Pool | 3 | 0 | 3 | 4.5 |
| 2 | MC | Minor Course Student may select from the same specialized minors pool | 3 | 0 | 0 | 3 |
| 3 | HC | Student may select from the same Honors Pool | 3 | 0 | 0 | 3 |
| 4 | HC | Honors Course Student may select from the Honors Pool | 3 | 0 | 0 | 3 |
1st Semester
I Semester
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | Professional Core | Deep Learning | 3 | 0 | 0 | 3 |
| 2 | Management Course-II | Human Resource & Project Management | 2 | 0 | 0 | 2 |
| 3 | Professional Elective-IV | Select one of the following: | 3 | 0 | 0 | 3 |
| 4 | Professional Elective-V | Select one of the following: | 3 | 0 | 0 | 3 |
| 5 | Open Elective-III | Open Elective-III | 3 | 0 | 0 | 3 |
| 6 | Open Elective-IV | Open Elective-IV | 3 | 0 | 0 | 3 |
| 7 | Skill Enhancement Course | Prompt Engineering OR any of the APSCHE-offered skill-oriented courses | 0 | 1 | 2 | 2 |
| 8 | Audit Course | Constitution of India | 2 | 0 | 0 | — |
| 9 | Internship Evaluation | Evaluation of Industry Internship / Mini Project | — | — | — | 2 |
| Total | 19 | 1 | 2 | 21 | ||
Minor & Honors Courses
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | MC | Student may select from the Minor's Pool | 3 | 0 | 0 | 3 |
| 2 | HC | Student may select from the Honors Pool | 3 | 0 | 0 | 3 |
| 3 | HC | Student may select from the Honors Pool | 3 | 0 | 0 | 3 |
2nd Semester
II Semester
| S.No. | Category | Course Title | L | T | P | Credits |
|---|---|---|---|---|---|---|
| 1 | Internship / Project Work | Full Semester Internship & Project Work | 0 | 0 | 24 | 12 |
| Total | 0 | 0 | 24 | 12 | ||
MOOC Course
Students need to complete at least ONE MOOC course carrying 3 credits out of the total 160 credits to meet the mandatory requirement (11th criterion, as per R23 Regulations).
Open Electives
Open electives offered to students from other departments.
Open Elective-I
Operating Systems
ORComputer Organization and Architecture
Open Elective-II
Database Management Systems
Open Elective-III
Object Oriented Programming Through Java
Open Elective-IV
Computer Networks
ORSoftware Engineering
ORIoT Based Smart Systems
ORQuantum Science and Technology
Meet the Faculty of Artificial Intelligence & Data Science
Faculty with specialised knowledge in Artificial Intelligence and Machine Learning, contributing to academic learning, research and project development.
Dr. A. Hanumat Prasad
Professor, HOD
Dr. A. Anand Babu
Assistant proffesor
Mr. V. Margasaha Chary
Assistant proffesor
Mrs. S.Saraswathi
Assistant proffesor
Mrs. Y. Sri Varsha
Assistant proffesor
Mrs. J. Siva Tejaswi
Assistant proffesor
Mr. Y. Siva Naga Raju
Assistant proffesor
Mr. B. Vinod Kumar
Assistant proffesor
Mr. Jada. Sunil kumar
Assistant proffesor
Mr. P. Hasan Khan
Assistant proffesor
Mrs. K. Sri Lakshmi Annapurna
Assistant proffesor
Ms. CH. Naga Lakshmi
Programmer
Mr. Vignesh Teja Yadav Chinni
Programmer
LABORATORIES
Explore Our Artificial Intelligence & Data Science Laboratories
Laboratories equipped to strengthen applied learning in Artificial Intelligence and Data Science through experimentation, data analysis and project development.
DBMS Lab & OS Lab
CNS Lab & CC Lab
Programming in C Lab & Data Structures Lab
OS Lab & SEC Lab
Pioneers of research and Innovations
TOP RECRUITERS
Trusted by Leading Industry Partners
Our students are recruited by renowned national and multinational companies across diverse industries.
Trusted by Leading Recruiters
Placement Rate
Average Package
Recruiting Companies
Highest Package
STUDENT SUCCESS
Student Accomplishments in AI & Data Science
Highlighting student work in data-driven problem solving, AI applications, research initiatives and technical challenges.
4.5 LPA
VEERAMALLA RAVI KUMAR
Artificial Intelligence and Machine Learning|2023
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
4 LPA
Nimmagadda Harini
Artificial intelligence & Machine Learning | 2026
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
4.2 LPA
G. Poojitha
Artificial intelligence & Machine Learning | 2025
4 LPA
Shaik Umme Salma
Artificial intelligence & Machine Learning | 2026
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
4.5 LPA
Sanjana Seeta
Computer Science Engineering | 2026
4.5 LPA
Sanjana Seeta
Computer Science Engineering | 2026
4.5 LPA
VEERAMALLA RAVI KUMAR
Artificial Intelligence and Machine Learning|2023
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024
6 LPA
MALLIREDDY THARUN AKASH REDDY
Artificial intelligence & Machine Learning | 2024