M.Sc.-Physics
Overview
Embark on a transformative journey of scientific exploration with our Bachelor of Science program at the School of Basic and Applied Science (SOBAS). Designed to ignite curiosity and foster innovation, our B.Sc. curriculum blends theoretical knowledge with hands-on experience, preparing you for a dynamic career in diverse fields of science.
In just three years, dive deep into your passion with a choice of specialized tracks including Mathematics, Physics, Chemistry, Zoology and, Botany. From conducting groundbreaking experiments to fieldwork expeditions, our B.Sc. students are actively engaged in real-world research projects that make a difference. Harness the power of curiosity and innovation as you unravel scientific mysteries, collaborate with peers, and make meaningful contributions to society.
Post life as a graduate student at SOBAS, one can choose from the wide array of opportunities available to a Science graduate student such as research, corporate job, further studies, interdisciplinary jobs, preparation of government jobs or for central universities.
Scope of M.Sc. Physics
According to US Bureau of Labor Statistics, The employment outlook for computer and information technology occupations is exceptionally promising, with a projected growth rate significantly higher than the average across all occupations from 2022 to 2032. On average, approximately 377,500 job openings are anticipated each year within these fields. This surge is attributed to both the expansion of employment opportunities and the imperative to fill positions vacated by workers departing these occupations permanently. The robust projection underscores the ongoing demand for skilled professionals in the computer and information technology sectors over the next decade.
Course Structure M.Sc. Physics
Our B.Tech program in Artificial Intelligence and Machine Learning (AI & ML) combines theoretical and practical knowledge, offering a curriculum that covers programming, data structures, machine learning, deep learning, natural language processing, and big data analytics. The program provides a strong foundation in mathematics and statistics, along with specialized AI & ML topics.
The following table outlines the comprehensive course structure of the B.Tech AI & ML program. It is organized into core, elective, interdisciplinary, and skill enhancement components. Each category specifies the type of courses, their descriptions, and the corresponding credits, ensuring a well-rounded academic experience with a balance of foundational knowledge, research exposure, and professional ethics:
| Category | Short Name | Description | Credits |
|---|---|---|---|
| Departmental Core | DC | Discipline Specific Core Courses (DSC) | 50 |
| Departmental Core | DC | Project / Dissertation / Field Study / Survey | 10 |
| Departmental Core | DC | Seminar | 2 |
| Departmental Core | DC | Internship / on Job Experience | 0 |
| Departmental Core | DC | Research Credit Course | 0 |
| Departmental Elective | DE | Discipline Specific Elective Courses(DSE) | 15 |
| Program Linked Core | PLC | Interdeciplinary | 0 |
| Generic Elective | GE | Open courses/Generic Elective (GE) | 8 |
| University Core | UC | Ability Enhancement Courses (AEC) | 0 |
| University Core | UC | Skill Enhancement Courses (SEC) | 0 |
| Value Added Courses common for all UG (VAC) – Non Graded | |||
| University Core | UC | NSS/NCC | 0 |
| University Core | UC | Envionmental Science | 0 |
| University Core | UC | Human Values and Professional Ethics | 0 |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | PHL811 | Classical Mechanics | 3 | 1 | 2 | 5 | DC | 1st Sem |
| 2 | PHL812 | Classical Electrodynamics | 3 | 2 | 0 | 5 | DC | 1st Sem |
| 3 | PHL813 | Quantum Mechanics | 3 | 1 | 2 | 5 | DC | 1st Sem |
| 4 | PHL814 | Analog, Digital Electronics and Microprocessors | 3 | 1 | 2 | 5 | DC | 1st Sem |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | PHL815 | Statistical Physics | 3 | 2 | 0 | 5 | DC | 2nd Sem |
| 2 | PHL816 | Mathematical and Computational Methods in Physics | 3 | 0 | 4 | 5 | DC | 2nd Sem |
| 3 | PHL817 | Relativistic Electrodynamics and Radiation Physics | 3 | 2 | 0 | 5 | DC | 2nd Sem |
| 4 | PHL818 | Atomic, Molecular and Laser Physics | 3 | 1 | 2 | 5 | DC | 2nd Sem |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | PHL901 | Advanced Quantum Mechanics and Quantum Field Theory | 3 | 2 | 0 | 5 | DC | 3rd Sem |
| 2 | PHL902 | Nuclear and Particle Physics | 3 | 1 | 2 | 5 | DC | 3rd Sem |
| 3 | PHQ901 | Seminar | 0 | 2 | 0 | 2 | DC | 3rd Sem |
| 4 | SML901 | Research Methodology, Ethics and IPR | 3 | 1 | 0 | 4 | PLC | 3rd Sem |
| 5 | Deparmental Elective -1 | 3 | 0 | 4 | 5 | DE | 3rd Sem |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | PHD901 | Project / Dissertation / Field Study / Survey | 0 | 0 | 20 | 10 | DC | 4th Sem |
| 2 | Deparmental Elective -2 | 4 | 1 | 0 | 5 | DE | 4th Sem | |
| 3 | Deparmental Elective -3 | 3 | 1 | 2 | 5 | DE | 4th Sem |
| Course Code | Course | L | T | P | Credit |
|---|---|---|---|---|---|
| PHL903 | Condensed Matter Physics | 3 | 1 | 2 | 5 |
| PHL904 | Energy Studies | 3 | 1 | 2 | 5 |
| PHL905 | Advanced Electronics | 3 | 0 | 4 | 5 |
| PHL907 | Nano Material Synthesis and Characterisation Techniques | 3 | 1 | 2 | 5 |
| PHL908 | Soft Condensed Matter and Plasma Physics | 3 | 1 | 2 | 5 |
| PHL909 | High Energy Physics | 4 | 1 | 0 | 5 |
| PHL910 | Nuclear and Green Energy | 4 | 1 | 0 | 5 |
| PHL911 | Microwave Electronics | 3 | 1 | 2 | 5 |
| PHL912 | Thin Film and Spintronics Devices | 3 | 1 | 2 | 5 |
Department
at a Glance
- Mission
-
Programs Offered
1. Bachelor of Science (B.Sc) in Mathematics
2. Bachelor of Science (B.Sc) in Biology - Faculty
- Facilities
- Research and Outreach
- Student Support Services
- Professional Development
- Accreditation and Affiliations
Exclusive
Labs
- Microsoft Innovation Center
- Microsoft - Global Technical Support Center (GTSC)
- IBM Software Lab For Emerging Technologies
- Oracle Academy Lab
- Unisys Innovation Labs
Your Department in a Nutshell
- Achievements
- Patents
- Research
- Expert Sessions
- Activities
- Labs
Eligibility & Fee Details
For Indian Students : 10+2 or equivalent
Course Fee | |
|---|---|
Admission Fee (one time) | 5000/- (at the time of admission) |
Tuition Fee | 14000/- Per Semester |
Examination Fee | 3000/- Per Semester |
Development Fee | 3000/- Per Semester |
Caution Fee (one time) | 3000/- (Refundable) |
Scholarship Criteria
Scholarship For Session 2025-26
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
|---|---|---|---|---|
| Early Admission Benefit (One Time) [INR] | 3000 | 2000 | 1000 | No EAB |
| % in Graduation | Scholarship on Tuition Fees | |||
|---|---|---|---|---|
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
| Above 90% | 20% | 15% | 10% | 5% |
| 85% – 89.99% | 10% | 5% | NA | NA |
| 75% – 84.99% | 5% | NA | NA | NA |
For CPU Students ( Graduation Year 2024 or 2025)
| Scholarship in Tuition Fee | ||||
|---|---|---|---|---|
| Till 31st July | After 31st July | |||
| CPU Student (Graduating in 2024 or 2025) | 1. Waiver in Admisoin Fee Rs 5000/- 2. Scholarship 10% in Tution fee OR merit scholarship as above whichiever is higher | NA | ||
Note:
- 1. Merit scholarship is linked with admission date (irrespective of date of result declaration of previous class)
- 2. Student can avail only one type of merit scholarship scholarship (whichever is higher).
- 3. Merit Schiolarship Continuation eligibility: Above merit scholarship is only for 1st Year. For continuation of the same in subsequent year, student has to maintain CGPA >= 6.5
- 4. EAB Scholarship is given in addion to the merit scholarship.
- 5. To avail scholarship, student must deposit applicable semester fee before the cut-off date for scholarship. If student fail to do so, his/her eligibiity for availing scholarship will be cancelled.
- 6. Also, to avail merit scholarship, student has to submit supporting documents in original along with 1 set of photocopies.
Why Join B.Sc – Maths / Biology?
Unlock the potential of science with our Bachelor of Science (B.Sc.) program at the School of Basic and Applied Sciences (SOBAS). Here's why you should choose us:
- New Education Policy Integration: Our curriculum is aligned with the principles of the New Education Policy (NEP), offering flexibility, interdisciplinary learning, and skill enhancement opportunities.
- Expert Faculty: Learn from seasoned professionals and subject matter experts who are dedicated to nurturing your academic growth and success.
- Cutting-Edge Curriculum: Stay ahead of the curve with a dynamic curriculum that integrates the latest advancements in science and technology, preparing you for diverse career pathways.
- State-of-the-Art Facilities: Access modern laboratories, research facilities, and technology-enhanced classrooms for immersive and hands-on learning experiences.
- Hands-On Experience: Gain practical skills through internships, fieldwork, and project-based learning initiatives, fostering real-world application of theoretical knowledge.
- Structured Exam Patterns: Our structured and rigorous examination patterns ensure comprehensive assessment and evaluation, helping you gauge your progress and performance effectively.
What makes Department
of B.Sc – Maths / Biology unique?
The uniqueness of the Department of B.Sc in Mathematics or Biology lies in several key factors that distinguish it from other academic departments. Here are some aspects that make the Department of B.Sc in Mathematics or Biology unique:
Maths
Biology
Placements
Recruiters Tie Up's
Our Students Speak
Isha khurshid K22136 B.SC-B.ED + M.Sc. (Zoology) [2017-2023]
Misbah Sheikh K20768 B.SC-B.ED + M.Sc. (Zoology) [2017-2023]
How to Apply
Steps to Follow
Frequently Asked Questions
B.Sc – Maths / Biology at Career Point University
The B.Sc. Mathematics / Biology program at Career Point University typically spans three years, divided into six semesters.
For B.Sc. Mathematics, candidates must have completed their 10+2 examination with Mathematics as one of the subjects. For B.Sc. Biology, candidates should have completed their 10+2 examination with Biology as one of the subjects.
You can apply for admission online through the university’s official website or by visiting the admission office in person.
The admission process typically involves filling out an application form, submission of required documents, and may also include an entrance exam or merit-based selection depending on the university’s policies.
After completing B.Sc. Mathematics, students can pursue careers in fields such as data analysis, statistics, teaching, research, finance, and more. Similarly, B.Sc. Biology graduates can explore opportunities in areas like healthcare, pharmaceuticals, research, environmental science, teaching, and biotechnology.
Career Point University may offer scholarships based on academic performance, financial need, or other criteria. Interested students are encouraged to inquire directly with the university’s scholarship office for more information.
Yes, students can pursue higher studies such as M.Sc., M.Phil., or Ph.D. in their respective fields or related disciplines after completing their B.Sc. program from Career Point University.
Yes, Career Point University is recognized by the University Grants Commission (UGC), and its B.Sc. Mathematics / Biology program is accredited and recognized.
Career Point University provides state-of-the-art laboratories, well-equipped classrooms, library facilities, hostel accommodation, sports facilities, and academic support services to B.Sc. Mathematics / Biology students.
The faculty at Career Point University for the B.Sc. Mathematics / Biology program consists of highly qualified and experienced professors who are dedicated to providing quality education and guidance to students.