Parul University Online: Mathematics
Discover Mathematics at Parul University Online.
Vadodara, Gujarat2 Years
Recognition & accreditation
UGC recognizedInstitution recognition
NAAC A++Accreditation
UGC recognizedInstitution recognitionNAAC A++Accreditation
RANKING INFORMATIONNIRF rank not listed
A year-specific rank and category have not been confirmed for this profile.
Recognition can vary by program. Confirm the current status with the university before applying.
YOUR AREA OF FOCUSMathematics
Explore online learning options
Program duration2 Years
Program fee₹60,000
Available programs10
Specializations1
Discover Mathematics.
The Parul Online M.Sc. in Mathematics (Applied Mathematics) is a two-year postgraduate program designed for learners seeking advanced mathematical knowledge and practical skills in data science, finance, technology, research and engineering. The curriculum covers algebra, differential equations, numerical methods, statistical methods, mathematical modelling and financial mathematics, along with tools such as MATLAB and Python. With flexible online learning resources and research-oriented activities, the program helps learners strengthen their analytical and problem-solving skills while balancing other commitments.
Learn your way
Explore online lectures, resources, and the university’s learning experience.
Know your program
Review the curriculum, eligibility, and fees before you choose.
Guidance that helps
Talk through your options with a UniversitySathi advisor.
Fully online postgraduate degree
Industry-oriented curriculum
Flexible learning for working professionals
Interactive LMS and recorded lectures
Career-focused learning approach
Affordable fee structure
University recognition and approvals.
UGC recognized
Approved by University Grants Commission to offer valid online degrees.
NAAC A++
Accredited with NAAC A++ which ensures excellent academic quality.
Recognition information is from the supplied catalog. Check the institution and regulatory body for current program-specific status.
Other areas to explore.
Program fees.
Specialization fee (as listed)₹ 15,000
Semester fee₹15,000
Payment optionsFlexible EMI options available through UpSchol
Parent course amounts are shown where a separate specialization fee is unavailable. Confirm current fees, installment terms, and any additional charges before applying.
Calculate your EMISyllabus and semester subjects.
Algebra 1
Differential Equations
Transform Theory
Complex Analysis – I
Numerical Methods
Introduction to MATLAB
Eligibility requirements.
Indian applicants
Educational Qualification Candidates should have a relevant bachelor's degree from a recognised university. Parul University's online programme information should be checked for the latest programme-specific eligibility conditions before application. For Parul University's campus M.Sc. in Applied Mathematics, the published eligibility specifies a B.Sc. in Mathematics, Statistics or Applied Mathematics. This is different from the broader eligibility information sometimes published by third-party counselling websites, so students should confirm the exact eligibility applicable to the online programme and admission session. Minimum Marks The exact minimum percentage should be verified with the university before admission because eligibility requirements can vary by programme and admission category. Work Experience No prior work experience is generally required for postgraduate admission unless specifically stated in the current admission notification.
International applicants
International applicants for the Parul Online M.Sc. in Mathematics (Applied Mathematics) must hold a relevant bachelor’s degree from a recognised university or an equivalent qualification, as per university guidelines. Applicants may need to provide academic transcripts, a valid passport and other required documents for admission and qualification verification.
How to apply.
Counselling Call
Fill Online Application
Upload Document
Fees Payment
Enrolment Confirmation
Career options and skills.
Data Analyst
₹6 LPA – ₹10 LPA
Statistician
₹5 LPA – ₹12 LPA
Research Analyst
₹7 LPA – ₹14 LPA
Operations Research Analyst
₹9 LPA – ₹13 LPA
Quantitative Analyst
₹8 LPA – ₹20 LPA
Data Scientist
₹9.5 LPA – ₹18 LPA
Advanced Mathematics
Computational Mathematics
Statistical Thinking
Mathematical Modelling
Operations Research
Financial Mathematics
Research & Problem Solving
Career and salary information is indicative. A degree does not guarantee a placement or salary.
Frequently asked questions.
What is Parul Online M.Sc in Mathematics?+
Parul University Online offers a two-year Online M.Sc. in Applied Mathematics designed to develop advanced mathematical, analytical and computational skills for applications in areas such as technology, finance, engineering, data science and research.
What is the duration of Parul Online M.Sc in Mathematics?+
The programme duration is 2 years, divided into 4 semesters.
What is the Parul Online M.Sc in Mathematics Fees?+
The currently published online programme information lists the fee at ₹15,000 per semester, or approximately ₹60,000 for four semesters. Students should confirm the latest payable fee, taxes, scholarships and payment options before admission.
Is Parul Online M.Sc in Mathematics UGC approved?+
Recognition depends on the university, exact program, study mode and admission session. Check the current regulatory listing and the university’s program documents. Acceptance for a job, examination or further study is decided by the relevant employer, authority or receiving institution.
Is Parul Online M.Sc in Mathematics good for working professionals?+
It can be a suitable option for working professionals who want to pursue postgraduate mathematics without leaving their jobs. The programme offers live and recorded learning and an online LMS-based learning environment.
Can I become a Data Scientist after an M.Sc in Mathematics?+
Yes. Mathematics provides a strong foundation for statistics, modelling and analytical reasoning. However, aspiring data scientists should additionally develop skills in Python, SQL, statistics, machine learning and data visualisation.
