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M.Sc in Biophysics is a 2-year long course divided into 4 semesters. The minimum eligibility criterion needed to be fulfilled for pursuing the course is graduation in any of B.Sc. Physics, Bio-informatics, Biology (10+2 with mathematics), Chemistry, Biotechnology, Biochemistry, B.Tech. Bioinformatics, Biotechnology and Industrial Biotechnology. Biophysics, as the name suggests, is physics as applied to biological world. The structures and functions of biological cells, molecules and organisms are studied using methods of physics. Biophysics is the Science of developing theories and methods of physics towards the investigation of biological problems. Theaverage tuition feecharged in India for the course ranges between INR40,000 and 1 Lacs. Admission to the course is based on the candidates performance in a relevant entrance exam such as the Bangalore University Entrance Exam, Bharathiar University Entrance Exam, Bhopal University Entrance Exam and Manipal University Online Entrance Test entrance exam etc. Such postgraduates are hired in capacities such as Biophysicists, Medical Biophysics, Applied Biophysicist, Researcher, Associate Engineer and Quality Controller etc. And in industries like Pharmaceuticals, Manufacturing, Biotechnology, Research Organizations and FMCG etc. , besides colleges and universities as teachers.

You can pursue B.Sc. (Hons), from LPU, the course ios atie up course with IBM. Being a faculty I know about LPUs programs. Hence I will tell you in brief about LPUs B.Sc. Statistics programme The eligibility for the programme is Pass with 90% aggregate marks 10+2 (with English and Maths or equivalent or Pass with 60% aggregate marks in 10+2 (with English and Maths or equivalent, subject to qualifying LPUNEST
LPU has joined hands with the tech giant IBM to integrate the emerging technologies with the experiential learning at undergraduate level which includes the access to enterprise software, delivery by IBM designated experts, real time industry case study and research methodologies. In addition to applied and theoretical aspects of Statistics the curriculum lays a strong foundation in other domains, such as mathematics, computers and data analytics. A broad base of training in the important areas of Statistics data analytics and mathematics will allow the student to successfully progress into professional employment, academics and research.