Build the skills to turn data into insights, decisions, and innovation with industry-focused data science courses at Mohan Babu University. Designed to meet the growing demand for data professionals, the programme combines strong computing fundamentals, hands-on learning, industry collaboration, and practical exposure to real-world analytics applications.
Whether you’re exploring a data science course after 12th or looking for a future-ready technology career, MBU provides the knowledge, tools, and industry experience needed to succeed in the data-driven economy, being one of the foremost data science colleges in India.
Data science is transforming how organisations analyse information, solve problems, and make strategic decisions. From healthcare and finance to e-commerce and manufacturing, businesses rely on data science professionals to uncover patterns, predict outcomes, and drive innovation.
The Department of Data Sciences at Mohan Babu University prepares students for careers in data science, data engineering, artificial intelligence, and analytics through a balanced approach that combines theoretical foundations with practical learning. Mohan Babu University offers one of the leading data science courses in India. Students gain exposure to industry-relevant technologies, research opportunities, certifications, and real-world projects that help them develop both technical and problem-solving skills.
Welcome to Mohan Babu University’s Department of Data Sciences!
We are dedicated to nurturing the next generation of leaders in Data Science, addressing the increasing global demand for professionals in IT, Cyber Security, Data Science, and Data Engineering. Through a balanced approach of rigorous theoretical foundations and practical application, our students acquire proficiency in essential tools and technologies across Computer Science, Cyber Security, and Data Science disciplines.
Our faculty members employ modern pedagogical techniques such as lectures, case studies, seminars, and hands-on projects to equip students with the skills necessary for success in the professional sphere. With a focus on problem-solving and real-world relevance, our curriculum incorporates workshops, guest lectures, and skill enhancement initiatives conducted in collaboration with industry giants like IBM, SAP, and Google.
Within our Data Analytics Research Center, students actively participate in pioneering research endeavors, while access to global certifications and placement preparation sessions ensures their readiness for the competitive job market. Additionally, our exchange programs offer invaluable international exposure and foster collaboration opportunities with peers worldwide.
We invite you to become part of our vibrant learning community, where innovation and excellence drive the future of Data Science. We eagerly anticipate embarking on this enriching journey with you!
Dr. SIRISH KUMAR M
Associate Professor & Head (I/C)
Take a look at our data science courses which also offer placements for our best and the brightest.
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 Data science.
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 Data Science conducts Workshops on every semester and also organizes training on the curriculum prescribed by the IBM for the students registered for IBM collaborative program.
Pursuing a data science course after 12th is desirable in the age of AI/ML, where data is everything. As one of the most recognizable data science colleges in India, the data science courses we offer provide a strong foundation in computing, analytics, statistics, and intelligent systems. We offer data science courses with placements – for our best and the brightest.
Students may explore:
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.
The Department of Data Sciences is supported by modern computing infrastructure and specialised research facilities.
Computing Labs : Students have access to ICT-enabled classrooms, advanced computer laboratories, networking facilities, and dedicated skill development centres designed to support hands-on learning.
Data Analytics Research Centre : The Data Analytics Research Centre supports research and innovation in Data Science, Cloud Computing, Healthcare Analytics, Agricultural Analytics, and intelligent data-driven solutions.
Cyber Security Research Centre : Students also benefit from access to research facilities focused on network security, cloud security, cyber-physical systems, IoT security, and digital forensics.
Focus on Innovation: The department has contributed significantly through publications, patents, conferences, and applied research initiatives.
The Data Analytics Research Center at 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. It builds 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 Department of Data Sciences is supported by modern computing infrastructure and specialised research facilities.
Students have access to ICT-enabled classrooms, advanced computer laboratories, networking facilities, and dedicated skill development centres designed to support hands-on learning.
The Data Analytics Research Centre supports research and innovation in Data Science, Cloud Computing, Healthcare Analytics, Agricultural Analytics, and intelligent data-driven solutions.
Students also benefit from access to research facilities focused on network security, cloud security, cyber-physical systems, IoT security, and digital forensics.
The department has contributed significantly through publications, patents, conferences, and applied research initiatives.
Graduates from Data Science courses can pursue careers such as:
Career Opportunities
Data Science professionals are increasingly employed across industries including finance, healthcare, retail, telecommunications, manufacturing, e-commerce, logistics, and technology services.
| Area | Data Science | Artificial Intelligence | Computer Science |
|---|---|---|---|
| Primary Focus | Data Analysis & Insights | Intelligent Systems | Computing Foundations |
| Core Skills | Analytics, Statistics, Visualization | ML, Deep Learning, AI Models | Programming, Software Development |
| Career Paths | Data Scientist, Analyst, BI Developer | AI Engineer, ML Engineer | Software Engineer, Developer |
While Computer Science provides broad computing knowledge and AI focuses on intelligent systems, Data Science specialises in extracting insights and value from data to support business decisions and innovation.
Candidates seeking admission to Data science programs must satisfy the eligibility requirements prescribed by the university.
Eligibility for B.Tech CSE (Data science)
✅ 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 Data Sciences
Dr. SIRISH KUMAR M
Associate Professor & Head (I/C)
E-Mail: head-ds@mbu.asia
| S.No. | Name of the Faculty | Designation |
|---|---|---|
| 1 | Dr. SIRISH KUMAR M | Associate Professor & Head (I/C) |
| 2 | Dr. A.V. SRIHARSHA | Professor |
| 3 | Dr. Karthikayan S | Professor |
| 4 | Dr. Damodaram D | Professor |
| 5 | Dr. JYOTHSNA V | Associate Professor |
| 6 | Dr. RAM BABU G | Associate Professor |
| 7 | Ms. HYMAVATHI P | Associate Professor |
| 8 | Dr. SIVAKUMAR C | Associate Professor |
| 9 | Dr. Velmurugan G | Associate Professor |
| 10 | Dr. Vankudothu Balu | Associate Professor |
| 11 | Dr. Nune Suresh | Associate Professor |
| 12 | Dr. MUNI SANKAR KONDREDDY | Assistant Professor |
| 13 | Mr. SHIVA PRAKASH S | Assistant Professor |
| 14 | Mr. CHANAKYA GM | Assistant Professor |
| 15 | Mr. THRILOK REDDY M | Assistant Professor |
| 16 | Ms. C H PRATHIMA | Assistant Professor |
| 17 | Ms. PALEM KEERTHI . | Assistant Professor |
| 18 | Ms. ANUSHA Y | Assistant Professor |
| 19 | Ms. CHENGAMMA CHITTETI | Assistant Professor |
| 20 | Ms. GONTHUKOKALA PRASANNA | Assistant Professor |
| 21 | Ms. BUSSA ASHREETHA | Assistant Professor |
| 22 | Ms. HARIKA D | Assistant Professor |
| 23 | Mr. YOGENDRA PRASAD | Assistant Professor |
| 24 | Ms. KAKANURU VANITHAMM . | Assistant Professor |
| 25 | Mr. SHAIK NURULLA | Assistant Professor |
| 26 | Mr. EEDARA MURALIRAGHAVA . | Assistant Professor |
| 27 | Ms. KOPURI SRAVYA . | Assistant Professor |
| 28 | Ms. THATHAMANCHI SWATHI | Assistant Professor |
| 29 | Mr. BALA MUNAIAH K | Assistant Professor |
| 30 | Ms. RACHETI LEELAVATHI . | Assistant Professor |
| 31 | Ms. UMA A | Assistant Professor |
| 32 | Mr. Bheemisetty Venkata Sivaiah | Assistant Professor |
| 33 | Ms. Chintham Nithisha | Assistant Professor |
| 34 | Ms. Thudumu Ramya | Assistant Professor |
| 35 | Dr. KM. Deepti Rani | Assistant Professor |
| 36 | Dr. PRASANTH REDDY DODDI | Assistant Professor |
| 37 | Ms. Gadiraju Manasa | Assistant Professor |
| 38 | Ms. Chakravarthuvala Malathi | Assistant Professor |
| 39 | Mr. Praveen SR Konduri | Assistant Professor |
| 40 | Mr. Mudavath Yuvaraj Naik | Assistant Professor |
| 41 | Mr. N Kumara Swamy | Assistant Professor |
| 42 | Dr. Kothuru Venkatadri | Assistant Professor |
| 43 | Mr. Bosubabu Sambana | Assistant Professor |
| 44 | Mr. Kaparla Anand | Assistant Professor |
| 45 | Dr. Aaquib Hussain Ganai | Assistant Professor |
| 46 | Mr. Balamurugan K | Assistant Professor |
| 47 | Dr. Sriharrish K | Assistant Professor |
| 48 | Dr. Kuncham Sudhakar | Assistant Professor |
| 49 | Mr. Doodi Naveen | Assistant Professor |
| 50 | Dr. Pokula Nagendrababu | Assistant Professor |
| 51 | Dr. Poornima BH | Assistant Professor |
| 52 | Mr. Apsalahamed K | Assistant Professor |
| 53 | Ms. Madapana Meena | Assistant Professor |
| 54 | Dr. Gudipati Maheswari | Assistant Professor |
| 55 | Mr. Mohammad Mubashir Ahmed | Assistant Professor |
| 56 | Dr. Rasheed Syed | Assistant Professor |
| 57 | Ms. Spandana Ponnam | Assistant Professor |
| 58 | Mr. Sreetharan . V | Assistant Professor |
| 59 | Mr. ArunKumar Reddy P | Assistant Professor |
| 60 | Mr. Janardhan Dama | Assistant Professor |
The department offers specialised programmes across undergraduate and postgraduate levels:
Each programme combines strong Computer Science fundamentals with specialised learning in emerging technology domains.