PTU-image

PHD in Applied Sciences Mathematics at I.K. Gujral Punjab Technical University

I. K. Gujral Punjab Technical University, Kapurthala, a public university established in 1997, is recognized by UGC and AICTE. It offers over 35 UG, PG, and Diploma programs in Engineering, Management, and Pharmacy. Emphasizing academic excellence, it achieved a 120th NIRF Engineering ranking in 2021.

READ MORE
location

Kapurthala, Punjab

Compare colleges

About the Specialization

What is Applied Sciences (Mathematics) at I.K. Gujral Punjab Technical University Kapurthala?

This Applied Sciences (Mathematics) PhD program at I.K. Gujral Punjab Technical University focuses on advanced mathematical research relevant to diverse scientific and engineering domains. It aims to develop highly skilled researchers capable of contributing to theoretical and applied mathematical challenges, addressing India''''s growing demand for innovation in analytics, computational science, and interdisciplinary problem-solving across various sectors.

Who Should Apply?

This program is ideal for postgraduate students holding an M.Sc. in Mathematics or a related field who possess a strong aptitude for research and a desire to contribute to cutting-edge mathematical knowledge. It also suits academics seeking to deepen their specialization and working professionals in R&D or analytics who aspire to pursue advanced scholarly endeavors and contribute to India''''s scientific advancements.

Why Choose This Course?

Graduates of this program can expect to pursue careers as research scientists in national labs, university professors, data scientists, or quantitative analysts in India''''s thriving IT, finance, and engineering sectors. They gain advanced analytical skills, critical thinking abilities, and problem-solving expertise, positioning them for leadership roles in academia and industry, with competitive salary ranges starting from INR 8-15 LPA for entry-level researchers.

Student Success Practices

Foundation Stage

Master Research Methodology & IPR- (Coursework Semester (typically Semester 1))

Diligently engage with the ''''Research Methodology & IPR'''' coursework, understanding its core principles, statistical tools, and ethical guidelines. Actively participate in discussions, seek clarifications, and practice applying research concepts to potential thesis topics. Focus on developing a strong foundation in research design and intellectual property fundamentals.

Tools & Resources

SPSS, R-Studio, Mendeley/Zotero, IPR India website (ipindia.nic.in), NPTEL courses on research methodology

Career Connection

Essential for conducting credible research, protecting innovations, and academic publication, which are critical for any PhD career in academia or industry R&D.

Deep Dive into Elective Mathematics Topics- (Coursework Semester (typically Semester 1))

Select a discipline-specific elective (e.g., Advanced Mathematics, Numerical Methods, Operations Research, Statistics and Probability) that aligns with your research interests. Go beyond the syllabus by exploring advanced textbooks, research papers, and online courses related to the chosen area. This strengthens your specialized knowledge base crucial for thesis development.

Tools & Resources

arXiv.org, ResearchGate, Google Scholar, advanced textbooks by prominent authors, Coursera/edX for specialized math courses

Career Connection

Builds a robust theoretical foundation for your PhD thesis, making you a specialist in a specific mathematical domain, highly valued in specialized research or quantitative roles.

Cultivate Academic Writing and Presentation Skills- (Coursework Semester (and ongoing throughout PhD))

Practice writing concise research proposals, literature reviews, and reports as part of your coursework. Actively seek feedback from professors and peers. Develop strong presentation skills by volunteering for seminars or group discussions. Attend university workshops on academic writing, LaTeX, and presentation delivery.

Tools & Resources

Grammarly, LaTeX, Microsoft PowerPoint/Google Slides, University writing centers, NPTEL academic writing modules

Career Connection

Crucial for thesis submission, journal publications, conference presentations, and effective communication of research findings throughout your academic and professional career.

Intermediate Stage

Identify and Refine Research Problem- (Year 2 (post-coursework))

Work closely with your supervisor to identify a novel and feasible research problem within Applied Mathematics. Conduct an exhaustive literature review, identify research gaps, and formulate clear research questions and hypotheses. This stage requires critical thinking and a deep understanding of current mathematical research frontiers.

Tools & Resources

Scopus, Web of Science, MathSciNet, Google Scholar, university library databases

Career Connection

A well-defined research problem is the bedrock of a successful PhD, leading to significant contributions and publications, which are vital for academic and research positions.

Develop and Implement Methodologies- (Year 2-3)

Design appropriate mathematical models, theoretical frameworks, or computational algorithms to address your research problem. Gain proficiency in relevant software (e.g., MATLAB, Python, Mathematica, R) for simulations, numerical analysis, or data manipulation. Document every step rigorously.

Tools & Resources

MATLAB, Python (NumPy, SciPy, Matplotlib), Mathematica, R, specialized mathematical software

Career Connection

Develops advanced technical and computational skills highly sought after in academia, quantitative finance, data science, and scientific computing roles.

Attend & Present at Conferences/Workshops- (Year 2 onwards)

Actively seek opportunities to present your ongoing research at national and international conferences, seminars, and university workshops. Engage with other researchers, receive feedback, and network with experts in your field. This enhances visibility and refines your communication skills.

Tools & Resources

Conference announcement websites, departmental notice boards, professional societies (e.g., Indian Mathematical Society), travel grants

Career Connection

Builds your professional network, establishes your presence in the research community, and can lead to collaborations or post-doctoral opportunities.

Advanced Stage

Focus on High-Quality Publications- (Year 3 onwards, intensifying in Year 4-5)

Aim to publish your research findings in reputable, peer-reviewed journals in Applied Mathematics. Understand the journal submission process, respond to reviewer comments effectively, and refine your manuscripts to meet high academic standards. Quality publications are crucial for career progression.

Tools & Resources

Journal submission portals (Elsevier, Springer, Taylor & Francis), LaTeX, academic writing workshops

Career Connection

Publications are key metrics for academic recruitment, promotion, and securing research grants, significantly enhancing your profile for faculty or senior research positions.

Prepare for Thesis Defense & Viva Voce- (Final year of PhD (Year 4-6))

Systematically compile your research into a coherent and well-structured thesis. Practice presenting your research concisely and confidently, anticipating potential questions from your examination committee. Seek mock vivas from your supervisor and senior researchers.

Tools & Resources

Thesis formatting guidelines (university specific), presentation software, mock defense sessions

Career Connection

A successful thesis defense is the culmination of your PhD, opening doors to post-doctoral fellowships, academic positions, or senior R&D roles.

Strategic Career Planning & Networking- (Year 4 onwards)

Beyond research, actively explore career options. Network with faculty, industry professionals, and alumni. Attend career fairs, prepare tailored CVs and cover letters, and practice interview skills. Consider post-doctoral positions, industry research roles, or academic lectureships based on your interests.

Tools & Resources

LinkedIn, university career services, professional networking events, alumni associations, job portals for research/academic roles

Career Connection

Proactive planning ensures a smooth transition from PhD student to a successful professional, aligning your expertise with suitable opportunities in India or abroad.

Program Structure and Curriculum

Eligibility:

  • Master’s degree or a professional degree declared equivalent to the Master’s degree by the corresponding statutory regulatory body, with at least 55% marks in aggregate or its equivalent grade ''''B'''' in the UGC 7-point scale. For Applied Sciences (Mathematics) specialization, a Master''''s degree in Mathematics, Applied Mathematics, or equivalent is required. (As per IKGPTU PhD Ordinance 2022)

Duration: PhD Coursework: 1 Semester (part of overall 3-6 year PhD program)

Credits: 8-12 Credits (for coursework) Credits

Assessment: Assessment pattern not specified

Semester-wise Curriculum Table

Semester phase

Subject CodeSubject NameSubject TypeCreditsKey Topics
PHDRM101Research Methodology & IPRCore (Mandatory)4Introduction to Research, Research Design, Data Collection and Measurement, Data Analysis and Hypothesis Testing, Interpretation and Report Writing, Intellectual Property Rights, Patents, Copyrights, Trademarks
PHDMS-1Advanced MathematicsElective (Choose one from PHDMS-1 to PHDMS-4)4Complex Analysis, Fourier Series and Transforms, Laplace Transforms, Partial Differential Equations, Numerical Solutions of ODEs and PDEs
PHDMS-2Numerical MethodsElective (Choose one from PHDMS-1 to PHDMS-4)4Solutions of Non-linear Equations, Numerical Solutions of Linear Systems, Interpolation and Curve Fitting, Numerical Differentiation and Integration, Numerical Solution of Ordinary Differential Equations
PHDMS-3Operations ResearchElective (Choose one from PHDMS-1 to PHDMS-4)4Linear Programming, Transportation and Assignment Problems, Queuing Theory, Inventory Control Models, Game Theory, Network Analysis
PHDMS-4Statistics and ProbabilityElective (Choose one from PHDMS-1 to PHDMS-4)4Probability Distributions, Correlation and Regression Analysis, Sampling Theory, Hypothesis Testing, Non-Parametric Tests, Design of Experiments
whatsapp

Chat with us