Enter the World of AI-Driven Pharmaceutical Research with Advanced Diploma in AI & Computational Drug Discovery

Duration - 1 Year

Duration 1 Year

Eligibility Bachelor's degree in B.Pharm, M.Pharm, Pharm.D, MBBS, BDS, BAMS, BHMS, B.Sc./M.Sc. Life Sciences, B.Tech, B.Sc. Nursing, BVSc, or other allied disciplines

Intake 30 Students

Fees ₹1,00,000 / Year

Campus DPGU School of Pharmacy and Research, Pimpri, Pune

Eligibility Bachelor's degree in B.Pharm, M.Pharm, Pharm.D, MBBS, BDS, BAMS, BHMS, B.Sc./M.Sc. Life Sciences, B.Tech, B.Sc. Nursing, BVSc, or other allied disciplines

Programme Overview

The Advanced Diploma in AI & Computational Drug Discovery programme is designed to equip graduates from pharmaceutical, life sciences, healthcare, and allied disciplines with future-ready expertise in artificial intelligence and computational approaches to drug discovery. The programme integrates AI, Python, Java, machine learning, molecular modelling, bioinformatics, and computational biology within a pharmaceutical context. The interdisciplinary approach enables learners to connect pharmaceutical sciences with emerging technologies and develop the technical and analytical capabilities required for data-driven research. The programme prepares graduates to contribute to emerging areas such as AI-driven drug research, precision medicine, computational biology, and advanced pharmaceutical innovation.

WHY CHOOSE US

The Advanced Diploma in AI & Computational Drug Discovery at DPGU SPR gives you a distinct competitive edge by seamlessly integrating pharmaceutical sciences with cutting-edge artificial intelligence, machine learning, Python, molecular modelling, and computational biology. Designed to meet the evolving demands of modern healthcare, the programme transforms complex data into actionable research, equipping you with essential technical and analytical skills. By training you on high-impact applications in precision medicine and automated drug discovery, this interdisciplinary curriculum prepares you to drive innovation across the pharmaceutical, biotechnology, and data-driven life sciences industries.

40+ Years of Legacy

2000+ Recruiting Partners

Industry-Synced Learning

Global Opportunities

Programme Highlights

AI for Pharmaceutical Applications

Understand the application of artificial intelligence and machine learning to drug discovery, pharmaceutical research, and healthcare innovation.

Python & Java Programming

Develop foundational programming skills relevant to data analysis, computational research, modelling, and pharmaceutical applications.

Computational Drug Discovery

Explore computational approaches to drug design, molecular modelling, target analysis, and data-driven discovery.

Machine Learning & Predictive Modelling

Learn how machine learning techniques can be applied to analyse complex datasets and support predictive drug discovery.

Cheminformatics & Bioinformatics

Develop interdisciplinary knowledge of chemical and biological data analysis for applications in pharmaceutical research.

Computational Biology

Understand computational approaches for analysing biological systems, molecular data, and drug-related research problems.

Hands-on & Experiential Learning

Strengthen technical and problem-solving abilities through practical exercises, applied learning, and project-based activities.

Industry Internship Exposure

Gain practical insights into real-world applications through internship opportunities with pharmaceutical and biotechnology organisations.

Interdisciplinary Research Skills

Learn to approach pharmaceutical challenges using concepts from AI, computational science, data analytics, and life sciences.

Learning Experiences

Students gain practical knowledge through case studies, industry interactions, workshops, projects, presentations, and real-world marketing activities.

Curriculum

The Advanced Diploma in AI & Computational Drug Discovery course curriculum progressively introduces students to computational technologies and their application in modern drug discovery.

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Eligibility Criteria

Candidates seeking admission to the Ph.D. programme must fulfill the following eligibility requirements:

Candidate should possess a Bachelor's degree in B.Pharm, M.Pharm, Pharm.D, MBBS, BDS, BAMS, BHMS, B.Sc./M.Sc. (Life Sciences), B.Tech, B.Sc. (Nursing), BVSc, or other allied disciplines.

The admission process will be based on a personal interview conducted by the university, with selection purely on the basis of merit.

Fee Structure

Course Duration:

1 Years

Yearly Fees :

₹ 1,00,000/-

Career Opportunities After Ph.D. in Pharmaceutical Applications

The programme prepares graduates for emerging opportunities across pharmaceutical research, biotechnology, computational sciences, bioinformatics, and AI-driven drug discovery.

AI Scientist

Bioinformatics Analyst

Drug Discovery Specialist

Pharma Data Engineer

Research Scientist

Computational Biology Professional

Cheminformatics Analyst

Computational Drug Discovery Professional

Pharmaceutical Data Analyst

AI & Pharmaceutical Research Professional

How to Apply?

The admission process for the B.Tech Computer Science & Engineering programme is simple and student-friendly. Follow these steps to complete your admission:

DPGU admission process and application procedure

Related Programmes

M.Sc. Pharmaceutical Analysis | M. Pharm – Pharmaceutics | Doctor of Pharmacy (Pharm.D)

FAQs

Candidates must hold a Bachelor’s degree in B.Pharm, M.Pharm, Pharm.D, MBBS, BDS, BAMS, BHMS, B.Sc/M.Sc Life Sciences, B.Tech, or allied streams.

The total academic and computational training fee for this AI in drug discovery program is ₹1,00,000 per year.

Graduates can pursue roles such as AI Scientists, Bioinformatics Analysts, Drug Discovery Specialists, Pharma Data Engineers, and Research Scientists.

Yes, our central training and placement cell provides placement support through training, internships, and campus recruitment drives.

Students will develop skills in artificial intelligence applications for drug discovery, Python programming, molecular modelling, machine learning, data analysis, and computational research methodologies.

The university manages a balanced training timetable designed to help young professionals and researchers upskill comfortably.

This specialized syllabus combines data science with pharmaceutical research. Core topics include Molecular Modeling, Machine Learning for Target Identification, Virtual Screening, Computer-Aided Drug Design (CADD), Python Programming for Bio-informatics, and AI frameworks for predicting drug toxicity.

This AI in Drug Discovery Diploma programme is completed in 1 year and costs a total fee of ₹1 Lakh.

Yes, practical case studies are a core part of the diploma. You will work on real-world datasets, simulating AI models for virtual drug screening, target identification, and lead optimization to gain direct experience in modern computational laboratory pipelines before graduation.

Yes, it is one of the fastest-growing sectors in the pharmaceutical industry. Global pharma companies and biotech startups are investing heavily in AI to cut drug development times, creating massive demand for specialists who understand both data science and computational chemistry.

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Enter the World of AI-Driven Pharmaceutical Research with Advanced Diploma in AI & Computational Drug Discovery