Kodagu University Dphil in Social Data Science Admission

Date: 07-Jun-2025 ID:3339322

Kodagu University Dphil in Social Data Science Overview

Kodagu University was established in 2014. Kodagu University is a State Government institute approved by UGC, NCTE. Kodagu University is located in Kodagu, Karnataka. Kodagu University offers a Dphil in Social Data Science. The course duration of Dphil in Social Data Science is three years. Dphil in Social Data Science is an advanced research program that combines computational methods, data science and technology, and social science theory to address complex social challenges. This interdisciplinary program will provide students with skills to analyze large-scale data records, use machine learning and AI tools to generate insights into human behavior, social networks, governance and digital ecosystems. Students work closely with key scholars to participate in the latest research and contribute to fields such as computational social sciences, political analysis, and ethics AI. The program highlights both methodological rigor and material impact and graduate preparation for careers in science, industry or public order. To help students understand the current job market demands, Kodagu University has a Career Centre that organizes job searches and student support throughout the year. Kodagu University also provides soft skills training through debates, group discussions and other activities to ensure that students acquire the skills required to succeed in any career. Kodagu University provides many facilities like library, gym, sports, hostel etc to all its students.

Kodagu University Kodagu Highlights

Institute Name
Kodagu University Kodagu
Type
State Government
Approved By
UGC, NCTE
Established
2014
Affiliated By
Govt of Karnataka
E-Mail
academickuk@gmail.com
Official Website
https://kuk.karnataka.gov.in/
Address
Kodagu,Karnataka India 571232

Eligibility Criteria of Dphil in Social Data Science at Kodagu University

Candidates aspiring to pursue Dphil in Social Data Science courses should have a postgraduate degree in Social Data Science or a related field from a recognized university with at least 55% marks and should have passed the state or university level entrance examination such as national exams like UGC NET / CSIR UGC NET / GATE / SLET or Kodagu University entrance exam consisting of a written test and a personal interview.

Application Process of Dphil in Social Data Science at Kodagu University

The Kodagu University Application process is an online process. 
Interested students can fill out the application form on the official website of the Kodagu University.
Students must fill out the form as per the guidelines and upload the necessary documents. 
Check out the official website for the latest updates from the Kodagu University.

Entrance Exam for Dphil in Social Data Science at Kodagu University

GPAT
UGC NET
IIT JAM
CSIR UGC NET
VITMEE
JNUEE

Course Highlights of Dphil in Social Data Science at Kodagu University

Course Name
Dphil in Social Data Science
Course Duration
Three Years
Course Level
Doctoral
Admission Process
Merit or Entrance Exam Based
Eligibility Criteria
Post Graduation
Application Process
Online & Offline Mode
Fee Structure
Updated Soon
Job Profiles
Postdoctoral Researcher, Professor/Lecturer, AI/ML Research Engineer, etc.

Admission Process for Dphil in Social Data Science at Kodagu University

  1. Candidates must meet the Kodagu University Dphil in Social Data Science eligibility criteria.
  2. Then the candidates must fill out the application form from the official website of Kodagu University.
  3. Thereafter candidates must appear for the entrance examination conducted by Kodagu University.
  4. Candidates who have passed M.Phil / UGC-CSIR NET / JRF / SLET / GATE/ ICAR / ICMR/ DBT / NBHM and DST-INSPIRE are exempted from the entrance examination.
  5. Further, the qualified candidates must attend the personal interview.
  6. Finally, selected candidates must get their documents verified and pay the Kodagu University admission fees.

Required Documents for Dphil in Social Data Science at Kodagu University

Pass Certificate of Class 10th
Pass Certificate of Class 12th
Valid Certificate for proof of Date of Birth
Graduation Marks Sheet or equivalent, If applicable
Graduation Degree certificate, If applicable
Postgraduate Degree certificate
Postgraduate Mark Sheet or equivalent
Migration Certificate (Original+2 Xerox)
School Leaving Certificate/Transfer Certificate/College Leaving Certificate, as applicable
Caste Certificates (ST/SC/OBC-NCL), EWS Certificates
Passport size Photograph
Application form

Syllabus of Dphil in Social Data Science at Kodagu University

Year 1: Foundation & Core Training
Year 2: Specialization & Research Development
Year 3: Thesis Completion

Introduction to Social Data Science

Key concepts in social science research + computational methods

Ethics of data science in social research

Advanced Quantitative Methods

Statistical modeling, machine learning for social sciences

Programming for Social Scientists

Python/R, data wrangling, APIs, web scraping

Research Design & Proposal Development

Big Data & Computational Social Science

Network analysis, NLP, AI applications in social research

Advanced Topics in Social Data Science

Causal inference, agent-based modeling, etc.

Elective (e.g., Political Data Science, Economic Data Science, Behavioral Data Science)

Literature Review & Early Thesis Work

Domain-Specific Electives (e.g., Health Data Science, Urban Analytics)

Advanced Machine Learning for Social Data

Workshops on Research Publication & Conferences

Thesis Progress (Data Collection/Analysis)

Independent Research (Thesis Focus)

Optional Internship/Industry Collaboration (if applicable)

Writing & Presenting Research

Full-time thesis work (original research contribution)

Regular presentations & peer reviews

Final Submission & Viva Voce (Defense)

Placement of Dphil in Social Data Science at Kodagu University

Kodagu University has a committed placement department that helps students get into top organizations with competitive salaries. The placement department at Kodagu University organizes a wide range of training programs including workshops, seminars, industrial visits, and much more to enhance the skills and knowledge of the students. In addition to job placement assistance, Kodagu University also offers internship opportunities in top companies that provide students with the necessary skills and desirable insights into the corporate world.

Facilities of Dphil in Social Data Science at [COLLEGE_NAME]]

Transport Facility
The Kodagu University has the transport facility for students and staff.
I.T Infrastructure
The Kodagu University has well-established computer labs with all the advanced IT Infrastructure facilities available for the students and faculty members of the Kodagu University.
Sports
Kodagu University, Kodagu has a large sports ground for cricket, football and volleyball that makes students to be physically active and refreshes their minds.
Library
The Kodagu University has a library with a wide range of books, e-journals, newspapers and magazines that is helpful for the students and faculty members for gaining knowledge.
Hostel
Kodagu University, Kodagu provides a hostel facilities to all students with all the basic furniture provided. The hostel is well equipped with fans, bed, study table and a wardrobe.
Classrooms
The Kodagu University has classroom facility for students.

Job Types after completed Dphil in Social Data Science at Kodagu University

Job TypesDescription
Professor/Lecturer

Teach courses in data science, computational social science, or related fields.

Conduct independent research, publish papers, and secure grants.

Postdoctoral Researcher

Work on interdisciplinary research projects (e.g., AI ethics, social network analysis).

Collaborate with universities, research labs, or policy institutes.

Research Scientist

Lead data-driven studies for organizations like RAND, Pew Research, or Alan Turing Institute.

Develop models for policy recommendations, social trends, or behavioral analysis.

Data Scientist

Apply NLP, machine learning, and statistical modeling to social datasets.

Work in tech (e.g., Meta, Google), healthcare, or marketing analytics.

AI/ML Research Engineer

Develop fair and interpretable AI models in fintech, HR tech, or government.

Address bias in algorithms, ensure ethical AI deployment.

Quantitative UX Researcher

Study user behavior using A/B testing, surveys, and big data.

Improve product design for companies like Microsoft, Spotify.

Social Impact Consultant

Advise NGOs/governments on data-driven program evaluation.

Example: Measuring the effectiveness of education initiatives.

Policy Data Analyst (Government/IGO)

Work for agencies (e.g., UN, World Bank, UK ONS) analyzing census, crime, or economic data.

Inform evidence-based policymaking.

Intelligence Analyst (National Security)

Use network analysis/NLP for cybersecurity or counterterrorism.

Employed by agencies like GCHQ, FBI, or private defense contractors.