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Course Overview

A Doctor of Philosophy (PhD) in Mathematics is a research degree focused on creating original contributions to mathematics. It goes far beyond coursework — the ultimate goal is an independent research that advances knowledge in a particular area of Math.

Structure of the Program

 PhD programs in mathematics include several common components:

A. Coursework (First Semester)

You’ll take advanced graduate-level courses designed to build a strong foundation in key areas which include:

  • Research Methodology & Publication Ethics.
  • Tools & Techniques.
  • Elective Papers.

B. Qualifying / Comprehensive Exam

After core coursework, PhD students must demonstrate depth of understanding through qualifying exams, passing these exams allows you to advance to PhD candidacy (officially becoming a PhD researcher).

C. Research Phase

Once you’ve passed qualifying exams and identified a supervisor, you’ll focus on your research topic. This may include:

  • Literature review & identifying open problems
  • Conducting original research
  • Publishing in peer-reviewed journals (often required)
  • Presenting work at seminars and conferences

 Key Milestones in the PhD Journey

In SGRR University these are common steps:

  • Coursework completion
  • Qualifying/Comprehensive Exams
  • Research synopsis / proposal presentation
  • Original research and publication
  • Thesis submission
  • Final Oral Defense (Viva-Voce)

The final defense includes presenting your thesis results to a committee of experts, who determine whether you’ve made a significant original contribution to mathematics.

Areas of Research

Typical research areas in mathematics include (but are not limited to):

  • Pure Mathematics: Algebra, Analysis, Geometry, Topology, Number Theory
  • Applied Mathematics: Differential equations, Numerical Analysis, Optimization
  • Theoretical Computer Science
  • Interdisciplinary mathematics and computation. 

Skills and Outcomes

By completing a PhD, you develop:

  • Deep mathematical knowledge
  • Research and problem-solving expertise
  • Ability to publish and communicate complex ideas
  • Teaching and academic experience
  • Qualification for academic posts, research labs, industry R&D, or quantitative careers
 
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High-Quality Education, Experienced Faculty, Research Opportunities, Strong Career Support

Eligibility, Fee Details & Syllabus

1. Laboratory Based Courses (Total fee for six semesters: 3,12,000)
Particulars I SEM II SEM III SEM IV SEM V SEM VI SEM
Admission fee# 5,000          
Enrollment fee 2,000          
Tuition fee 44,000 44,000 44,000 44,000 44,000 44,000
Development fee 1,500 1,500 1,500 1,500 1,500 1,500
Other fee (library etc) 11,000          
Thesis submission fee           11,000
Security deposit (Refundable) 10,000          
Total 73,500 45,500 45,500 45,500 45,500 56,500
2. Non-Laboratory Based Courses (Total fee for six semesters: 2,46,000)
Particulars I SEM II SEM III SEM IV SEM V SEM VI SEM
Admission fee# 5,000          
Enrollment fee 2,000          
Tuition fee 33,000 33,000 33,000 33,000 33,000 33,000
Development fee 1,500 1,500 1,500 1,500 1,500 1,500
Other fee (library etc) 11,000          
Thesis submission fee           11,000
Security deposit (Refundable) 10,000          
Total 62,500 34,500 34,500 34,500 34,500 45,500
1. Laboratory Based Courses (Total fee for six semesters: 4,04,400)
Particulars I SEM II SEM III SEM IV SEM V SEM VI SEM
Admission fee# 5,000          
Enrollment fee 2,000          
Tuition fee 59,400 59,400 59,400 59,400 59,400 59,400
Development fee 1,500 1,500 1,500 1,500 1,500 1,500
Other fee (library etc) 11,000          
Thesis submission fee           11,000
Security deposit (Refundable)* 10,000          
Total 88,900 60,900 60,900 60,900 60,900 71,900
2. Non-Laboratory Based Courses (Total fee for six semesters: 3,15,300)
Particulars I SEM II SEM III SEM IV SEM V SEM VI SEM
Admission fee# 5,000          
Enrollment fee 2,000          
Tuition fee 44,550 44,550 44,550 44,550 44,550 44,550
Development fee 1,500 1,500 1,500 1,500 1,500 1,500
Other fee (library etc) 11,000          
Thesis submission fee           11,000
Security deposit (Refundable)* 10,000          
Total 74,050 46,050 46,050 46,050 46,050 57,050

# Non-Refundable

* Refundable

Course Name

Ph.D. Mathematics

Course Duration

3 Years

Eligibility

Post Graduate Degree in Master with at least 55% marks or with an equivalent Grade Point average (GPA). Relaxation of 5% marks to SC/ST/OBC (non –creamy layer) differently-abled categories applicant.

Admission Process

On the basis of Entrance Exam /Merit

Uniform Fee Extra

  • Fee structure subject to revision from time to time.
  • The Institute without any prejudice reserves the right to change or delete any information without any prior information.

Schedule of Depositing the Fee:

  • 1st Installment at the time of Admission.
  • 2nd, 4th, 6th and 8th Installment (as applicable) - Last Date Payment: 15th January each academic year.
  • 3rd, 5th and 7th Installment (as applicable) - Last Date Payment: 15th July each academic year.
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Why Choose Our Education Program?

  • Access to Expert Faculty Learn under the guidance of highly qualified and experienced educators who bring real-world insights and research into the classroom, helping you build a strong academic foundation.
  • Hands-on Teaching Practice Gain real school experience through internships, teaching simulations, and micro-teaching exercises, preparing you for real-world classroom challenges with confidence.
  • Modern Learning Resources Benefit from digital classrooms, a well-stocked education library, and teaching-learning materials that support innovative and interactive pedagogy.
  • Career Guidance & Support Receive personalized mentoring and career counselling, helping you choose the right career path in teaching, research, or administration.
  • Recognition & Professional Growth Stand out with a degree from a reputable institution known for producing successful teachers, researchers, and education leaders nationwide.

Job Opportunities

Career Paths after PhD

  • Academia: Lecturer / Assistant Professor / Postdoctoral researcher
  • Research institutions and labs
  • Industry R&D (e.g., cryptography, data science, finance, tech etc.)
  • Government research organizations
 

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