Health

Ahmedabad University launches two-year MSc in Health Data Science to train specialists for digital health

Ahmedabad University’s Bagchi School of Public Health will begin a two-year Master of Science in Health Data Science on July 1, 2027, combining coursework and an industry mentored internship to prepare professionals to analyse complex health datasets and support evidence-based decision-making.

Ahmedabad University launches two-year MSc in Health Data Science to train specialists for digital health
©Illustration AI Sohail Akhtar / we-news.com

The Bagchi School of Public Health at Ahmedabad University has launched a new Master of Science in Health Data Science, a two-year programme that will admit its first cohort from 1 July 2027, NewsVoir reported on Tuesday. The course aims to equip graduates with statistical, computational and domain knowledge necessary to analyse high-dimensional health data and support evidence-based decisions in clinical, public health and policy settings.

Curriculum blends health sciences with analytics and AI

According to NewsVoir, the programme combines foundational public-health subjects with advanced training in statistics, computer science, artificial intelligence (AI), informatics and biomedical engineering. The year-one curriculum will focus on coursework while the second year is reserved for a mentored, interdisciplinary industry internship.

The university said the course will cover emerging approaches for analysing diverse and complex datasets, including:

  • medical imaging fields such as pathology and radiology,
  • multi‑omics datasets including genomics and metabolomics,
  • exposome and other high‑dimensional population health data,
  • natural language processing and integrative data analysis techniques.

Students will be trained in advanced statistical and computational methods such as multivariate and discriminant analysis, machine learning, deep learning and other applied analytics to generate actionable insights for health and biomedical research, the report said.

Designed for diverse academic backgrounds

The programme is described as a progressive learning pathway intended to support entrants from varied academic streams. Emphasis, NewsVoir added, will be on methodological proficiency and use of real‑world health and healthcare data through collaborative projects and practical assignments.

The course profile underlines the growing demand for professionals who can bridge domain knowledge in health with quantitative and technical skills — a capacity seen as increasingly necessary amid rising digitisation of health records, expansion of telemedicine and wider adoption of AI tools in health research and service delivery.

Feature Detail
Programme Master of Science in Health Data Science
Duration Two years (one year coursework + one year mentored internship)
Start date 1 July 2027
Key areas Statistics, AI, informatics, biomedical engineering, ethics, public health

Industry and public‑health experts have emphasised in recent years that interpreting complex datasets — from genomics to imaging and population exposures — requires multidisciplinary teams combining clinical insight with computational methods. The university’s programme is presented as a response to this requirement.

NewsVoir noted that graduates will be prepared to apply data‑driven solutions for individual and population health issues, health systems planning, biomedical research and policy decisions.

Prospective students are advised to consult programme details and eligibility criteria directly with the Bagchi School of Public Health. For individual health concerns or decisions based on data-driven findings, readers should consult a qualified medical practitioner; reporting on the course does not constitute medical advice.

The initiative follows a wider trend in India and globally of new academic offerings aimed at developing capacity in health informatics, AI in medicine and translational data science, as public and private sectors seek professionals able to turn large and complex datasets into actionable information for better health outcomes.

Sohail Akhtar
Sohail AI AI Health Desk Editor online

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