Our MSc – Data Science program is a multidisciplinary, hands-on programme that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to enable students to study and analyse large amounts of data and extract meaningful insights for research and business. This program offers a cutting-edge curriculum that evolves alongside advancements in data science and AI technologies and provides opportunity to students to Master the programming languages, tool development and Exposure to disruptive technologies like AI. The students can Enhance their data analysis skills with special focus on predictive analysis and in varied sectors such as consumer behaviour, health, education and governance.

Eligibility Criteria

Passed BCA/ Bachelor Degree in Computer Science or equivalent Degree. OR passed B.Sc./ B.Com./ B.A. with Mathematics at l0+2 Level or at Graduation Level with 60% aggregated marks. Need to clear the CUPP entrance exam with above 50% score. Retrieving data. Wait a few seconds and try to cut or copy again.

Chanakya Edge
  1. Focus on comprehensive curriculum with emphasis on strong mathematical and programming skills.
  2. Focus on cutting edge research via multiple research projects and a capstone project that drive the innovation via conference presentations and publications.
  3. Close interaction with other schools such as the School of Biosciences, Natural sciences, Management sciences etc which give exposure to Big data and scientific challenges in different domains.
  4. Industry experience through internships that provide hands-on expertise in addressing real-world challenges.
  5. Unique set of tailored basket of electives such as graph neural networks, generative AI, cloud computing, anomaly detection etc to develop deeper expertise in emerging areas of applications.
  6. Curriculum focused on developing high end skills such as statistical analysis, fine tuning, transfer learning etc. to transform students from model users to model builders.
  7. Internationally trained faculty members with lot of experience in research and training.
  8. Advanced seminars organized regularly giving opportunity to listen and interact with eminent scientists from across the country and abroad.

Programme Highlights

  1. Comprehensive and Contemporary Curriculum relevant to Industry and academia
  2. Flexible and multidisciplinary program structure with unique combination of core and elective courses
  3. Hands-On Learning with lab and tutorial courses
  4. Specialized courses relevant to sectors such as consumer behaviour, health, education and governance.
  5. Research Projects to solve real-world problems
  6. Network with experienced Industry and academic experts

Faculty

Prof. S. S. Iyengar

Honorary Professor

Ph.D., Michigan State University, USA

Founding Director of Discovery Lab, Florida, USA
Prof. Satyavolu Srinivas Rau

Adjunct Professor of Mathematics, School of Mathematics and Natural Sciences

Ph.D., University of Hyderabad

Former Professor, Gar Younis University, Benghazi, Libya
Dr. V. S. Baswanth Oruganti

Associate Professor, School of Mathematics and Natural Sciences

Ph.D., Linköping University; Post-doc, Linnaeus University, Sweden

Former Faculty, GITAM University
Capt. Chaitanya Ramesh

Assistant Professor, School of Mathematics and Natural Sciences

M.Phil., Periyar University

Young Scientist Awardee, 'Guinness World and Limca National Record holder'
Dr. Madhuri Mukhopadhyay

Assistant Professor, School of Mathematics and Natural Sciences

Ph.D., IACS, Kolkata

Researcher, Lund University Sweden, Georgia Institute of Technology, USA, University of Exeter, UK
Dr. Sirshendu Ghosh

Assistant Professor, School of Mathematics and Natural Sciences

Ph,D., IACS-Kolkata; Post-doc, Ben-Gurion University of the Negev, Israel; Post-doc, NCKU-Taiwan

Dr. Mahesh Krishna K.

Assistant Professor, School of Mathematics and Natural Sciences

Ph.D., NIT Karnataka, Surathkal; Post-doc, Indian Statistical Institute, Bengaluru

Dr. Vanishri Bhat

Assistant Professor, School of Mathematics and Natural Sciences

Ph.D., IIT Bombay; Post-doc, Poornaprajna Samshodhana Mandiram, Bengaluru

Former Instructor, NSU, Tirupati
Dr. Hariprasad Manjunath Hegde

Assistant Professor, School of Mathematics and Natural Sciences

Ph.D., IISc Bengaluru

Dr. Bhagyashri Devaru Bhat

Assistant Professor, School of Mathematics and Natural Sciences

Ph.D.

Dr. Preethi Vijayaraghavareddy

Assistant Professor, School of Mathematics and Natural Sciences

Ph.D. Wageningen University and Research, The Netherlands

Dr. Santosh Kisan Pagire

Assistant Professor

MSc, PhD (Germany), CSIR-NET, MH-SET, MRSC

Dr. M. Sivakumar

Adjunct Faculty

Ph.D., University of Madras

Former Faculty, University of Hyderabad
Dr. Jay B. Simha

Visiting Faculty

Ph.D., Bangalore University

CTO, Abiba Systems

Career Opportunities

  • Data Scientist
  • ML Engineer
  • Quantitative Analyst
  • Financial Market Analyst
  • Health care analyst
  • Researcher ML Engineer
  • Quantitative Analyst
  • Financial Market Analyst
  • Health care analyst
  • Researcher

Student Engagement

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