PhD Big Data

Shoolini University offers PhD Big Data, a 3-year interdisciplinary program, framed as per the regulations of the National Education Policy (NEP-2020). This doctorate program provides in-depth knowledge and insight into different aspects of Data Science. 

Students who enrol for PhD Big Data are able to work and conduct research on a large volume of structured and unstructured data. This program combines relevant elements of machine learning, data science and statistical science. Leadership positions in business, industry and academics are filled by these PhD students and they are key teaching resource for data analytic students at the graduate and postgraduate level. 

On successful completion of the program, students develop knowledge and skill in the field of data management, algorithm development and predictive analytics to deal with big data issues. 

Key Highlights 

  • State-of-the-art computer labs 
  • Collaboration with Ikigai Lab, IIT Kanpur 
  • Patents filing by students and faculty encouraged 
  • Guest lectures by global experts in the field of Data Science 
  • Highly qualified and experienced Faculty 

PhD Big Data Career Opportunities

  • Data Scientist 
  • Senior Scientist-Analytical 
  • Computer Scientists 
  • Machine Learning Scientist 
  • Application Architect 
  • Data Architect 
  • Data Engineer 
  • Data Analyst 
  • Business Intelligence Developer 

Academic Calendar for PhDs 2023
Date of Admission Between Nov 2022 to  Between Feb 2023 to April 2023 Between May 2023-July 2023  Between Aug 2023 to Oct 2023 Between Nov 2023 to Jan 2024
Session Feb-23 May-23 Aug-23 Nov-23 Feb-24
Payment of tuition fee/Hostel fee for the semester Within 15 days from date of admission Within 15 days from date of admission Within 15 days from date of admission Within 15 days from date of admission Within 15 days from date of admission
Late fee payment with fine for the semester Within 30 days from date of admission Within 30 days from date of admission Within 30 days from date of admission Within 30 days from date of admission Within 30 days from date of admission
Registration (Online)* Within 21 days from date of admission Within 21 days from date of admission Within 21 days from date of admission  Within 21 days from date of admission Within 21 days from date of admission
Late Registration (with late fee) Within 30 days from date of admission Within 30 days from date of admission Within 30 days from date of admission Within 30 days from date of admission Within 30 days from date of admission
Commencement of Research  From the day of Registration From the day of Registration From the day of Registration From the day of Registration From the day of Registration
Commencement of Classes  May 15 - 30, 2023 Oct 26- Nov 08, 2023 May 13 - 25, 2024
I Term Examination  June 08 - 10, 2023 Nov 16-18, 2023 May 30 – June 1, 2024 
II Term Examination  July 4 - 14, 2023 December 15-23, 2023 July 3 - 13, 2024
Payment of tuition fee/Hostel fee for next semester July 1-15, 2023 Oct 1-15, 2023 Jan 01-15, 2024 April 1-15, 2024 July 1-15, 2024
Late fee payment with fine for next semester July 16-30, 2023 Oct 16-30, 2023 Jan 16-30, 2024 April 16-30, 2024 July 16-30, 2024
Date of Registration of next semester (Online) July 28-Aug 1, 2023 Nov 1-5, 2023 Feb 1-5, 2024 May 1-5, 2024 August 1-5, 2024
*Student will register for 1 course of 3 credits from Coursera and 5 credits of Research for synopsis at the time of Registration.

Ashish Khosla
Ashish KhoslaProfessor
Virender Rihani
Virender RihaniProfessor
Shyam Singh Chandel
Shyam Singh ChandelProfessor
M S Thakur
M S ThakurProfessor
Bhaskar Goel
Bhaskar GoelProfessor
Ram Prakash Dwivedi
Ram Prakash DwivediProfessor
Abhilash Pathania
Abhilash PathaniaAssistant Professor
Pankaj Vaidya
Pankaj VaidyaProfessor
Raj Kumar Saini
Raj Kumar SainiAssociate Professor
Raj Kumar
Raj KumarAssociate Professor
Sorabh Aggarwal
Sorabh AggarwalAssistant Professor
Sushil Kumar
Sushil KumarAssistant Professor
Veena Kashyap
Veena KashyapAssistant Professor
Brij Bhushan Sharma
Brij Bhushan SharmaAssistant Professor
Namita Gandotra
Namita GandotraAssistant Professor
Diksha Sharma
Diksha SharmaAssistant Professor
Nitisha Sharma
Nitisha SharmaAssistant Professor
SoniaAssistant Professor
Arunava Poddar
Arunava PoddarAssistant Professor
Arvind Singh Bisht
Arvind Singh BishtAssistant Professor
Kushal Kanwar
Kushal KanwarAssistant Professor
Bharti Thakur
Bharti ThakurAssistant Professor
Prachi Agrawal
Prachi AgrawalAssistant Professor
Navsal Kumar
Navsal KumarAssistant Professor
Nitin Kumar Sharma
Nitin Kumar SharmaAssistant Professor
Rahul Chandel
Rahul ChandelAssistant Professor
Ishani Sharma
Ishani SharmaAssistant Professor
Maya Thapa
Maya ThapaAssistant Professor
Piyush Sewal
Piyush SewalAssistant Professor
KanikaAssistant Professor

Frequently Asked Questions

Students passing out after successfully completing PhD Big Data can seek career positions in research, teaching and different technology-based companies. Students of PhD Big Data at Shoolini University often receive a JRF of Rs 30,000 per month.

What are the placement opportunities after completing PhD Big Data?

Shoolini University has a proactive and dedicated Placement Cell led by academicians who have deep knowledge and key insight about student and industry interests. The Placement Cell has been able to successfully place 100% students from 2018-20 in universities and industrial units related to students’ interest and capabilities. Leading industrial units from all over the country visit the Shoolini University campus to interact with and recruit students every year. Students from Big Data Program have been placed in companies like Airtel, Byju's, Hindustan Unilever Limited, Nestle, HCL, ICICI, Pinkerton, Serum Institute, Cognizant, AADDOO.AI, and more.

Shoolini University has signed MoUs with global universities of USA, Canada, Italy, United Kingdom, China, South Africa and Saudi Arabia. Research opportunities and student exchange is also available for PhD Big Data students.

Enrolling in a PhD program helps you begin or continue research in the field you're passionate about. You can delve deeper, make new discoveries, improve conceptual tactics and apply those concepts through the research conducted. You can decide what to work on, how to work, and chart your journey with support and guidance from a supervisory team.

Shoolini University is India’s No.1 Research University (QS World University Rankings, Asia-2023) with 150+ programs and top placements & internships in India. Over the past decade, Shoolini has built a worldwide network of partner universities to foster exchange opportunities, collaborative academic programs, faculty engagement and research, and other activities. Shoolini offers study abroad opportunities with scholarships to top universities in the USA, Australia, UK, South Korea, Taiwan, Japan, and Italy, among others. Shoolini has filed 1200+ patents; its h-index is >100 with Field Weighted Citation Impact (FWCI) of 2.22. It has 104+ state-of-the-art laboratories, 9 Centres of Excellence, and 2 Shoolini Researchers are among the Top 1% Scientists of the world.

Students with a minimum CGPA score of 7.5/10 in the four-year-undergraduate program (FYUP) will now be eligible for PhD admissions, without having to complete a master’s program, according to the new regulations on the award of PhD degree finalised by the University Grants Commission (UGC).

The institution's accreditation by appropriate agencies means the program meets high standards of academic excellence. However, other factors, such as the field of research, number of publications, collaborations, etc., are also considered.

Doctoral programs require intensive training in research methods. This includes interviews, surveys, questionnaires, clinical trials, and laboratory experiments. These skills are put into practice when the candidate conducts fieldwork for the dissertation. Skills gained in qualitative and quantitative research methodology and statistical analysis are transferable to non-academic research environments, particularly for industrial research. In addition, employers outside of academia seek individuals with sound research skills to carry out projects at think tanks and research institutes in both the private and government sectors.

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Course Details

  • Eligibility: Four year graduation degree or two year masters degree in Science/ Mathematics/ Management/ related discipline with minimum 55% marks

  • Admission Criteria: Shoolini University's multiple choice entrance test (SU-SAT), and assessment of research aptitude through concept note & faculty interaction

  • Duration: 3 years

  • Fee Structure

    Semester Fee : 65000