Build a future-ready career with industry-focused AI & Machine Learning courses at Mohan Babu University. Explore B.Tech in AI & Machine Learning as well as Data Science and M.Tech programs designed to equip students with the skills required for the next generation of intelligent technologies.
With industry-aligned learning, IBM collaboration, hands-on projects, modern laboratories, and practical exposure to emerging technologies, MBU prepares students to thrive in an AI-driven world.
Whether pursuing a B.Tech in AI and Machine Learning or advanced postgraduate studies, students benefit from an ecosystem that encourages innovation, research, entrepreneurship, and problem-solving. The programmes are designed to help learners build expertise in AI, machine learning, data science, and intelligent computing technologies.
The Department of Artificial Intelligence and Machine Learning at Mohan Babu University is dedicated to developing skilled professionals and researchers in intelligent technologies. The department offers undergraduate, postgraduate, and doctoral programs – AI & Machine Learning courses – that combine strong computing fundamentals with advanced concepts in Artificial Intelligence, Machine Learning, Data Science, and emerging technologies.
Students benefit from a learning environment that emphasizes innovation, practical application, research, and industry engagement. Through workshops, hackathons, projects, seminars, and collaborative learning opportunities, MBU helps students develop the technical and problem-solving skills required for successful careers in the AI ecosystem.
Today, MBU is emerging as one of the top universities for Artificial Intelligence in India, offering students access to industry-relevant learning experiences and future-focused programs.
Embracing the Future: Harnessing the Power of Artificial Intelligence and Machine Learning
As we navigate through the ever-evolving landscape of technology, it is crucial for us to stay at the forefront of innovation. I would like to emphasize the significance of Artificial Intelligence (AI) and Machine Learning (ML) in shaping your future and the world as well.
AI and ML have become integral components of modern business strategies, offering unprecedented opportunities for growth, efficiency, and excellence. By leveraging the capabilities of these technologies, we can enhance our decision-making processes, automate routine tasks, and unlock new insights from the vast amounts of data at our disposal.
As the prospective engineers in this field, it is our responsibility to embrace these transformative technologies and explore their potential applications within our domain. The possibilities are vast, ranging from optimizing internal processes and workflows to delivering more personalized and efficient services to our clients.
In this regard, Herewith we endeavor to tread a path in the following initiatives.
Educational Initiatives: Involve ourselves in training programs and workshops to empower ourselves with the knowledge and skills required to work with AI and ML technologies.
Collaboration: Foster interdisciplinary collaboration within our department and encourage cross-functional teams to work on AI and ML projects. Diverse perspectives can lead to innovative solutions across domains.
Capstone Projects: Identify specific use cases within our operations where AI and ML can make a meaningful impact. Initiate and undertake Capstone projects to test the feasibility and potential benefits of these technologies.
Continuous Learning: The field of AI and ML is dynamic and rapidly evolving. It is encouraged to involve in a culture of continuous learning, where students are encouraged to stay updated on the latest advancements.
By embracing AI and ML, we not only position ourselves as innovators but also future-proof ourselves against the challenges of tomorrow. Let us start on this journey together, fostering a culture of curiosity, collaboration, and excellence.
Dr. K. Reddy Madhavi
E-Mail: head-aiml@mbu.asia
At leading artificial intelligence engineering universities like MBU, students can choose from multiple AI & Machine Learning courses designed to build expertise in AI, machine learning, data science, and intelligent systems.
MBU's collaboration with industry leaders like IBM helps bridge the gap between academics and industry by exposing students to contemporary technologies, industry practices, and evolving technology trends.
The curriculum is designed to balance theoretical knowledge with practical application, ensuring students develop the technical, analytical, and problem-solving capabilities sought by employers.
Students gain hands-on experience through laboratory sessions, coding competitions, workshops, seminars, hackathons, industry visits, and capstone projects that strengthen their understanding of real-world AI applications.
Faculty members bring academic expertise, research exposure, and industry insights into the classroom, helping students build strong foundations in Artificial Intelligence and Machine Learning.
Students benefit from career development initiatives, internship opportunities, technical training, and placement preparation programs designed to enhance industry readiness.
Students have opportunities to pursue internships and globally recognised certifications in technologies and platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), Salesforce, and other industry-relevant domains.
The IBM Centre of Excellence plays a crucial role in driving innovation, expertise, and collaboration within a specific domain, leveraging the capabilities of IBM’s technology portfolio. It serves as a hub for research, development, and knowledge dissemination to benefit both the organization hosting the Centre of Excellence (CoE) and the broader community. The primary goal is to foster excellence in a particular area, utilizing IBM’s products, services, and technologies.
The key aspects and functions associated with an IBM Centre of Excellence is to explore and innovate in areas related to IBM offerings, and to develop new applications, solutions, and approaches using IBM technologies.
Collaborative program with IBM is started at Mohan Babu University in 2022. The Department of AI & ML conducts Workshops on every semester and also organizes training on the curriculum prescribed by the IBM for the students registered for IBM collaborative program.
One of the top universities for artificial intelligence in India, the curriculum for MBU’s Artificial Intelligence and machine learning courses is designed to align with industry requirements and technological advancements while building strong computing foundations.
Students gain expertise in:
Students may explore advanced topics such as:
Project-based learning is integrated throughout the program. Students apply classroom concepts through laboratory work, mini-projects, hackathons, coding competitions, and industry-oriented capstone projects that address real-world challenges.
One of the top universities for artificial intelligence in India, the curriculum for MBU's Artificial Intelligence and machine learning courses is designed to align with industry requirements and technological advancements while building strong computing foundations.
Workshops & Hackathons :
Students are encouraged to participate in workshops, seminars, innovation challenges, coding competitions, and hackathons that strengthen technical capabilities and foster creativity.
Industry Visits & Expert Sessions :
Industry interactions expose students to emerging technologies, business challenges, and professional expectations, helping bridge the gap between classroom learning and industry requirements.
Focus on Innovation : The department encourages participation in research initiatives and innovation activities that promote experimentation, knowledge creation, and technological advancement.
The curriculum is continuously aligned with evolving industry trends, helping students stay current with emerging technologies and workplace requirements.
The Data Analytics Research Center, Mohan Babu University, was started for the benefit of UG, PG students, Research scholars and faculty members. The Centre motivates the research activity in the fields of cloud computing and data science. The center is well-equipped to create innovative solutions that influence the lives of people in positive ways. The center build systems and algorithms to extract knowledge, find patterns, generate insights, predict and visualize diverse data for healthcare and agricultural applications through cloud based services such as Meghdoot cloud by C-DAC, Chennai. It is equipped with Data Analytics and cloud computing software such as Python, R Studio, Weka, Spark, Hadoop, RapidMiner, MATLAB and Meghdoot cloud.
The Center for Computer Networks and Cyber Security at Mohan Babu University was established to empower the students and faculty to gain practical experience on current cyber security solutions and technologies. The major areas of research are IoT security, Cyber Physical System Security, Computer network security, Network monitoring and forensics, Vulnerability remediation and Assurance, Cloud computing and Software defined Networks.
The faculty has published 46 papers in peer reviewed journals, presented 75 papers in international conferences and 15 books and book chapters. Filed 20 patents and 02 patents were granted.
The department has conducted International Conferences on Data Analytics, Smart Computing and Networks during 2022 and 2023 respectively.
The Data Analytics Research Center, Mohan Babu University, was started for the benefit of UG, PG students, Research scholars and faculty members. The Centre motivates the research activity in the fields of cloud computing and data science. The center is well-equipped to create innovative solutions that influence the lives of people in positive ways. The center build systems and algorithms to extract knowledge, find patterns, generate insights, predict and visualize diverse data for healthcare and agricultural applications through cloud based services such as Meghdoot cloud by C-DAC, Chennai. It is equipped with Data Analytics and cloud computing software such as Python, R Studio, Weka, Spark, Hadoop, RapidMiner, MATLAB and Meghdoot cloud.
The Center for Computer Networks and Cyber Security at Mohan Babu University was established to empower the students and faculty to gain practical experience on current cyber security solutions and technologies. The major areas of research are IoT security, Cyber Physical System Security, Computer network security, Network monitoring and forensics, Vulnerability remediation and Assurance, Cloud computing and Software defined Networks.
The faculty has published 46 papers in peer reviewed journals, presented 75 papers in international conferences and 15 books and book chapters. Filed 20 patents and 02 patents were granted.
The department has conducted International Conferences on Data Analytics, Smart Computing and Networks during 2022 and 2023 respectively.
One of the top universities for artificial intelligence in India, the curriculum for MBU’s Artificial Intelligence and machine learning courses is designed to align with industry requirements and technological advancements while building strong computing foundations.
Students are encouraged to participate in workshops, seminars, innovation challenges, coding competitions, and hackathons that strengthen technical capabilities and foster creativity.
Industry interactions expose students to emerging technologies, business challenges, and professional expectations, helping bridge the gap between classroom learning and industry requirements.
The department encourages participation in research initiatives and innovation activities that promote experimentation, knowledge creation, and technological advancement.
Graduates from Artificial Intelligence and Machine Learning courses are prepared for a wide range of technology and analytics roles across industries.
An AI & ML specialization opens up career paths across some of the fastest-growing sectors of the digital economy, equipping students with in-demand skills to build intelligent, data-driven solutions.
Career Opportunities
Industries & Sectors
As AI adoption continues to accelerate globally, professionals with expertise in intelligent systems, automation, analytics, and data-driven decision-making are increasingly in demand.
Candidates seeking admission to AI & Machine Learning programs must satisfy the eligibility requirements prescribed by the university.
Eligibility for B.Tech CSE (Artificial Intelligence & Machine Learning)
✅ Passed 10+2 / Intermediate examination with Physics, Mathematics, Chemistry, Computer Science, Electronics, Information Technology, Informatics Practices, Biotechnology, Technical Vocational Subject, Agriculture, Engineering Graphics, Business Studies, or Entrepreneurship.
✅ Obtained a minimum of 45% aggregate marks in the above subjects taken together (40% for candidates belonging to reserved categories).
Admission Pathways
Submit the application form.
Complete the admission requirements.
Participate in the selection process, if applicable.
Confirm admission and complete enrollment formalities.
Candidates can qualify for admission through a range of nationally recognized entrance examinations accepted by the university.
MBU supports deserving students through scholarship and financial assistance opportunities designed to encourage academic excellence.
Scholarship Opportunities
Scholarships are available based on:
Dept. of AI&ML
Dr. K. Reddy Madhavi
Professor & Head
School of Computing
E-Mail: head-aiml@mbu.asia
| S.No. | Name of the Faculty | Designation |
|---|---|---|
| 1 | Dr. REDDY MADHAVI K | Professor & Head |
| 2 | Dr. DILEEP KUMAR Y | Professor |
| 3 | Dr. KRUPAKARAN R.L | Professor |
| 4 | Dr. AVANIJA J | Professor |
| 5 | Dr. LAKSHMI NARASIMHAMU K | Professor |
| 6 | Dr. Nandagopal V | Professor |
| 7 | Dr. Karunanidhi D | Professor |
| 8 | Dr. DHANALAKSHMI PANDLURI | Professor |
| 9 | Dr. ARUN V | Professor |
| 10 | Dr. S. RAGUNATHAN | Professor |
| 11 | Dr. Chokkalingam V. | Professor |
| 12 | Dr. Kanthamma K | Professor |
| 13 | Dr. Valaboju Bapuji | Professor |
| 14 | Dr. Srinivasa Rao N | Professor |
| 15 | Dr. Nakka Muralidhara Rao | Professor |
| 16 | Dr. Narendra Kumar Rao B | Professor |
| 17 | Dr. Ganesh C. | Professor |
| 18 | Dr. RAMACHANDRA BABU VASILI | Associate Professor |
| 19 | Dr. LAKSHMI KALA K | Associate Professor |
| 20 | Dr. KIRAN Y B | Associate Professor |
| 21 | Ms. SILPA L | Associate Professor |
| 22 | Dr. BUSIREDDY HEMANTH KUMAR | Associate Professor |
| 23 | Dr. MUNDLURU DHARANI | Associate Professor |
| 24 | Dr. ARAVA SUMAN KUMAR | Associate Professor |
| 25 | Dr. Guda Chenna Reddy | Associate Professor |
| 26 | Dr. Manigandan K | Associate Professor |
| 27 | Dr. PADMAJA K | Associate Professor |
| 28 | Dr. P Baby Maruthi | Associate Professor |
| 29 | Dr. Reddi Srinivasa rao | Associate Professor |
| 30 | Dr. Kavitha K | Associate Professor |
| 31 | Dr. Rajani A | Associate Professor |
| 32 | Dr. Sai Mahesh K | Associate Professor |
| 33 | Dr. Sabarinathan K. | Associate Professor |
| 34 | Dr. Hidayathulla Khan B MD | Associate Professor |
| 35 | Dr. Cheemala Raghavendra | Associate Professor |
| 36 | Dr. Balaji Vuppala | Associate Professor |
| 37 | Dr. Vijaya Bhaskarareddy M. | Associate Professor |
| 38 | Dr. Beyanagari Sudheer reddy | Associate Professor |
| 39 | Dr. G Vidyasagar Reddy. | Associate Professor |
| 40 | Dr. HARI KRISHNA V | Associate Professor |
| 41 | Dr. SASI KUMAR MATAM VENKATA | Assistant Professor Sl |
| 42 | Ms. JAHNAVI W V | Assistant Professor |
| 43 | Ms. SUMALATHA D | Assistant Professor |
| 44 | Mr. SUBBA REDDY B | Assistant Professor |
| 45 | Dr. K VIJAYAKUMAR | Assistant Professor |
| 46 | Mr. MAHESWAR REDDY R | Assistant Professor |
| 47 | Mr. RUPENDRA NAIK B | Assistant Professor |
| 48 | Mr. MOHAN KUMAR REDDY B | Assistant Professor |
| 49 | Mr. BALAKRISHNA N | Assistant Professor |
| 50 | Mr. KAMAL KUMAR U | Assistant Professor |
| 51 | Mr. HEMANTH N | Assistant Professor |
| 52 | Ms. LAKSHMI BHAVANI T | Assistant Professor |
| 53 | Ms. GHAMYA K | Assistant Professor |
| 54 | Mr. SUBRAMANYAM K | Assistant Professor |
| 55 | Mr. YELLAPPA REDDY B | Assistant Professor |
| 56 | Dr. B. ESWARI | Assistant Professor |
| 57 | Ms. DIVYA K | Assistant Professor |
| 58 | Ms. B. HARI CHANDANA | Assistant Professor |
| 59 | Ms. BUDARAPU LAKSHMI | Assistant Professor |
| 60 | Mr. SANGINADAM VENKATASEKHAR . | Assistant Professor |
| 61 | Ms. SESI PRABHA K | Assistant Professor |
| 62 | Mr. MAHESH KUMAR P | Assistant Professor |
| 63 | Mr. GOPALA KRISHNAN H | Assistant Professor |
| 64 | Ms. SASIKALA K | Assistant Professor |
| 65 | Mr. VELURI SIVA PRASAD | Assistant Professor |
| 66 | Dr. ANIL KUMAR N | Assistant Professor |
| 67 | Mr. GONUGUNTLA DILEEP KUMAR | Assistant Professor |
| 68 | Mr. YALAMANDA VENKATADRI | Assistant Professor |
| 69 | Ms. BOTLA GNAPIKA | Assistant Professor |
| 70 | Mr. SESHA REDDY N | Assistant Professor |
| 71 | Ms. KUMMARIKUNTA SANDHYA | Assistant Professor |
| 72 | Dr. Vennila G | Assistant Professor |
| 73 | Ms. Harika Koruturu | Assistant Professor |
| 74 | Ms. Jaya Deepthi | Assistant Professor |
| 75 | Mr. Raveendra Naick B | Assistant Professor |
| 76 | Ms. Prema K | Assistant Professor |
| 77 | Mr. VIJAYAKUMAR YENETI | Assistant Professor |
| 78 | Mr. GOPINATH P | Assistant Professor |
| 79 | Mr. BATHALA MAHESH | Assistant Professor |
| 80 | Dr. Ankit Kargeti | Assistant Professor |
| 81 | Mr. Cheruku Sudarsana Reddy | Assistant Professor |
| 82 | Ms. Rajani .B | Assistant Professor |
| 83 | Mr. Mallarapu Chiranjeevi | Assistant Professor |
| 84 | Mr. Ranjeet Kumar | Assistant Professor |
| 85 | Ms. PERNAPATI AMRUTHA | Assistant Professor |
| 86 | Ms. DANDU LIKITHA | Assistant Professor |
| 87 | Mr. CHANDRAMOULI REDDY M | Assistant Professor |
| 88 | Mr. Ramesh Naik B | Assistant Professor |
| 89 | Dr. Sanjay Sharma | Assistant Professor |
| 90 | Dr. Masthan Rao Kale | Assistant Professor |
| 91 | Mr. Sai Kishore M | Assistant Professor |
| 92 | Dr. Srinivasulu K | Assistant Professor |
| 93 | Dr. Babu S. | Assistant Professor |
| 94 | Mr. Kommalapati Naveen Kumar | Assistant Professor |
| 95 | Ms. Gogula Vyshnavi | Assistant Professor |
| 96 | Mr. Dhawlath .G | Assistant Professor |
| 97 | Mr. Rahil Hussain | Assistant Professor |
| 98 | Dr. Ashutosh Kumar | Assistant Professor |
| 99 | Dr. Yennam Sivananda Reddy | Assistant Professor |
| 100 | Dr. Motamarri Rambabu | Assistant Professor |
| 101 | Dr. Pakala Sivaranjani | Assistant Professor |
| 102 | Dr. Shobham Shobham | Assistant Professor |
| 103 | Ms. Shaik Raameez Anjum | Assistant Professor |
| 104 | Mr. Mudimela Thejavadhanana Reddy | Assistant Professor |
| 105 | Dr. Nithyanandam C | Assistant Professor |
| 106 | Dr. Lavanya Latha Y | Assistant Professor |
| 107 | Dr. N. Durairaj | Assistant Professor |
| 108 | Mrs. T. Naganandini | Assistant Professor |
| 109 | Mr. Palagani Srinavasarao | Assistant Professor |
| 110 | Mr. Puneeth kumar C | Assistant Professor |
| 111 | Mr. Karanki Nagagopi | Assistant Professor |