M.Sc. Mathematics - Advanced Mathematical Studies Program

The Online M.Sc. Mathematics program from Chandigarh University offers a rigorous curriculum covering advanced mathematical concepts across pure and applied mathematics. This UGC-entitled program combines theoretical foundations with practical applications, delivered through a state-of-the-art learning management system. Students benefit from expert faculty guidance, interactive learning sessions, and comprehensive study materials. The program emphasizes both core mathematical principles and specialized topics, preparing graduates for careers in academia, research, and various industries requiring advanced mathematical expertise. With flexible online delivery and access to extensive digital resources, students can balance their studies with other commitments while receiving a quality education equivalent to traditional campus programs.

Instructors:

Mirza Rahim Baig

Dr. Kriti Khurana

English

Duration:
2 Years

₹ 75,000

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Overview

An abstract study of number, quantity, and space, Mathematics is a broad area, which applies to various other disciplines also. Masters' of Science (M.Sc) in Mathematics is a highly-specialized degree program that develops acute and abstract reasoning skills by offering profound insight into core concepts and principles of mathematics.

Why MSc (Master of Science)?

The program offers a unique blend of theoretical depth and practical applications in mathematics, supported by experienced faculty and modern learning tools. With UGC recognition, NAAC A+ accreditation, and built-in career opportunities, this program provides excellent value for aspiring mathematicians and professionals.

What does this course have to offer?

Key Highlights

Flexible online learning format
UGC-entitled degree program
NAAC A+ accredited university
Built-in internship/job opportunities
Access to 300+ hiring partners
Cost-effective with EMI options
Advanced Learning Management System

Who is this programme for?

Mathematics researchers and educators
Data analysts and statisticians
Quantitative analysts
Research scientists
Mathematical modeling professionals

Minimum Eligibility

Bachelor's Degree with Mathematics as compulsory subject from a recognized Board / University
Minimum 50% marks in qualifying examination

Who is the programme for?

The admission process involves submitting academic credentials, including bachelor's degree transcripts with mathematics as a core subject. Applications are evaluated based on academic performance and program fit. Selected candidates can proceed with registration and fee payment.

Important Dates

Selection process

How to apply?

Curriculum

The curriculum is structured across four semesters, covering core mathematical concepts and specialized electives. The program includes theoretical coursework, practical applications, and research components, delivered through an advanced online learning platform.

There are 4 semesters in this course

The program comprises core courses in Real Analysis, Linear Algebra, Complex Analysis, and Topology, along with specialized electives in Mathematical Computing, Applied Mathematics, and Pure Mathematics. Each semester includes comprehensive coursework and assessments to ensure thorough understanding of advanced mathematical concepts.

Semester 1

Semester 2

Semester 3

Semester 4

Programme Length

2 years (4 semesters) with flexible online learning format

Tuition Fee

The program fee is INR 75,000 with a 25% early bird discount available. Students can opt for semester-wise payments of INR 18,750 or annual payments of INR 37,500. Various financing options and EMI plans are available.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The online learning experience is enhanced through recorded lectures, interactive sessions, and comprehensive study materials. Students have access to expert faculty, virtual learning resources, and regular academic support.

University Experience

Students gain access to university resources, digital library facilities, and academic support services. The program offers networking opportunities with peers and industry professionals through virtual platforms.

About the University

Established in 2012, Chandigarh University is a private university located in Mohali, Punjab, India. The university has grown into a leading institution offering a unique blend of professional and academic excellence. With NAAC A+ grade accreditation, CU provides education across multiple disciplines including engineering, management, computing, pharmacy, architecture, and liberal arts. The institution maintains a student-faculty ratio of 14:1 and serves students from all 28 Indian states and 50+ nations.

37000

Total Students

65 Countries

International Representation

20

NIRF University Rank

Affiliation & Recognition

University Grants Commission

National Assessment and Accreditation Council

All India Council for Technical Education

Career services

The university provides comprehensive placement support through its dedicated placement cell, organizing recruitment drives throughout the year. In 2023-24, the university achieved over 9,124 job offers from 904 companies. Students receive extensive career guidance, pre-placement training, and industry interaction opportunities. The placement cell maintains strong connections with leading employers across various sectors including IT, Engineering, Management, and Pharmacy.

9124

Total Job Offers

1.7 Crore

Highest International Package

54.75 LPA

Highest Domestic Package

Duration:
2 Years

₹ 75,000

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Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Mirza Rahim Baig

Master’s in Data Science, Liverpool John Moores University

Mirza Rahim Baig is an emerging professional who has completed his Master’s in Data Science from Liverpool John Moores University. His academic background equips him with a solid foundation in data analysis, machine learning, and statistical methods, which are essential for extracting insights from complex data sets.

Dr. Kriti Khurana

PhD in English, Guru Govind Singh Indraprastha University

Dr. Kriti Khurana is a prominent academic with a Ph.D. in English from Guru Govind Singh Indraprastha University. Her expertise lies in English literature and language, where she combines her scholarly knowledge with a passion for teaching. Dr. Khurana is committed to fostering a rich educational environment that encourages students to engage deeply with literary texts and develop critical analytical skills.

Testimonials

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Mirza Rahim Baig

Master’s in Data Science, Liverpool John Moores University

Dr. Kriti Khurana

PhD in English, Guru Govind Singh Indraprastha University

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

What is an online Master of Science in Mathematics degree program?

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Will the degree be recognised?