
Preparing for GATE Data Science & AI requires a strong foundation in mathematical concepts, programming, and data-driven problem-solving. With a relatively new and evolving syllabus, you may need a focused preparation strategy supported by experienced guidance and relevant practice.
Physics Wallah offers GATE Data Science & AI Online Coaching, designed to provide comprehensive learning, application-based practice, and continuous assessment, enabling a well-planned and exam-oriented preparation approach.
Physics Wallah GATE Data Science & AI Batches
Physics Wallah provides a range of GATE Data Science & AI batches designed to support you at different stages of preparation. These courses focus on building conceptual clarity, strengthening problem-solving skills, and ensuring complete syllabus coverage.
Total Batches: 12
Hinglish Medium: 10
English Medium: 2
These batches vary in pace, coverage, and include features such as live classes, practice sessions, and mock tests, allowing you to choose a course aligned with their preparation level and goals.
Physics Wallah offers 2 English-medium Data Science & AI batches that combine GATE preparation with extended academic and career-oriented pathways.
|
Batch Name |
Duration |
Fee |
Description |
|
~23 months (Jan 2026 – Dec 2027) |
Free (counselling) |
Integrates GATE preparation with an MBA pathway, offering broader career opportunities in management and technology domains. |
|
|
~23 months (Jan 2026 – Dec 2027) |
Free (counselling) |
Combines GATE preparation with an MSc degree, enabling deeper subject understanding along with exam readiness. |
These English-medium batches support long-term academic growth while ensuring consistent preparation for the GATE DA examination.
Physics Wallah’s GATE Data Science & AI Online Coaching is designed to ensure conceptual clarity, practical application, and exam readiness. Key benefits include:
Exam-Oriented Learning: Courses are aligned with the GATE DA syllabus to ensure complete and relevant preparation.
Dedicated Educators: Learn from experienced faculty members focused on Data Science and AI concepts.
Interactive Classes: Live sessions provide real-time learning and better engagement with complex topics.
Mock Tests & Evaluation: Regular tests help assess performance and identify strengths and improvement areas.
Comprehensive Coverage: All major topics are covered with clarity to build a strong foundation.
Concept + Practice Approach: Balanced focus on theoretical understanding and problem-solving skills.
Performance Tracking: Continuous assessment helps monitor progress effectively.
Revision Support: Practice and testing ensure better retention of key concepts.

