Delhi Pharmaceutical Sciences and Research University Answered Questions

The required documents for eligibility verification during B.Sc. in Biomedical Science admissions at DPSRU are:
1. Senior School Certificate Examination certificate
2. Mark sheet of the qualifying examination
3. Conversion certificate of numerical marks (if awarded grades)
4. Proof of age (to confirm completion of 17 years of age on the date of admission or by 31st December 2022)

To get a seat in DPSRU for Diploma in Pharmacy (D.Pharm.), contact the admission cell at Delhi Pharmaceutical Sciences And Research University, Phone: 29552039, 29552040. Please visit the campus at DIPSAR Campus, Pushp Vihar, Sector 03, Opposite Sainik Farm Gate No. - 01, Mehrauli-Badarpur Road, New Delhi - 110017, India for more information.

Admission criteria for Diploma in Medical Laboratory Technology (DMLT) at DPSRU:
- Candidate must have passed Senior School Certificate Examination of the Central Board of Secondary Education, New Delhi (12 year Course) or the Indian School Examination with English as one of the subjects and Physics, Chemistry, Mathematics (P.C.M) and/or Biology (P.C.B. / P.C.M.B.) as optional subjects with 55% or above marks in aggregate (theory and practical) and individually in three Science subjects (Physics, Chemistry and Biology or Mathematics).
- Alternatively, candidate can have 10+2 examination conducted by the respective state / central government authorities recognised as equivalent to 10+2 examination by the Association of Indian Universities (AIU) with English as one of the subjects and Physics, Chemistry, Mathematics (P.C.M.) and/or Biology (P.C.B. / P.C.M.B.) as optional subjects with 55 % or above marks in aggregate (theory and practical) and individually in three Science subjects (Physics, Chemistry and Biology or Mathematics).
- Candidate should have completed 17 years of age on the date of admission or should complete the age of 17 years on or before 31st December 2022.

B.Sc. in Biomedical Science at DPSRU offers a comprehensive skill and knowledge-based course with a focus on employability, interdisciplinary nature, and hands-on training in medical lab techniques. The course aims to develop an inherent interest in Biomedical Science, enhance understanding of key concepts, and provide a broad base understanding of various fields. It also offers job prospects in clinical laboratories, research institutions, biotechnology, and pharmaceutical industries, among others.

To get admission to B.Sc. in Biomedical Science at DPSRU, candidates should have passed 10+2 with Physics, Chemistry, and Biology (P.C.M.B.) as optional subjects with 55% or above marks in aggregate and individually in three Science subjects. They should have completed 17 years of age on the date of admission or should complete the age of 17 years on or before 31st December of the admission year.

The admission criteria for B.Sc. in Biomedical Science at DPSRU is not explicitly stated in the provided information. However, it can be inferred that the admission process may involve a comprehensive evaluation of the student's academic performance, particularly in Science subjects, as well as their potential to succeed in the field of biomedical science.
For accurate and up-to-date admission criteria, it is recommended to visit the official website of DPSRU or contact their admissions office directly.

M.Sc. in Artificial Intelligence in Medicine graduates from DPSRU can work in various roles such as:
Research and Development
Data Analysis
AI and Machine Learning Model Development
Precision Medicine
Clinical Decision Support Systems
Healthcare Information Management
Pharmaceutical Research and Development
Biomedical Signal Analysis
Medical Imaging Diagnosis
Personalized Medicine
Smart Health Records
Drug Discovery and Manufacturing
Clinical Trial and Research
They can work in industries such as healthcare, pharmaceuticals, biotechnology, and medical devices.

DPSRU offers M.Sc. in Artificial Intelligence in Medicine with a comprehensive curriculum covering AI and machine learning foundations, applications, and case studies in pharmacy, including disease detection, diagnosis, and personalized medicine. The course provides hands-on experience with AI techniques and machine learning models in healthcare use cases, making it an attractive choice for those interested in this field.