PhD Data Science

Eligibility: Four year graduation degree by research or two year masters degree in Computer Science/ Engineering / related discipline with minimum of 55% marks

  • Duration: 3 years
  • Admission Criteria: Shoolini University's multiple choice entrance test, and assessment of research aptitude through concept note & faculty interaction

Eligibility : Four year graduation degree by research or two year masters degree in Computer Science/ Engineering / related discipline with minimum of 55% marks

  • Duration : 3 years
  • Admission Criteria : Shoolini University's multiple choice entrance test, and assessment of research aptitude through concept note & faculty interaction

PhD Data Science at Shoolini University is an interdisciplinary program framed as per the regulations of the National Education Policy (NEP-2020). The concept is that today’s large and complex datasets cannot be handled by traditional data processing applications. The need to handle big data requires big models, and doctoral scholars who are able to do so, are in much demand. 

Experienced faculty members from renowned institutions like NCI, USA, NIH, USA, IISc and Oxford teach this program at Shoolini University. 

This unique program provides students with the opportunity to work alongside industry partners in analysing, capturing, sharing and visualising a great amount of data that can be used to solve challenges in real time. 

Shoolini University gives its students global exposure through collaborations with leading international institutions to enhance their learning experience. Shoolini has over 250 collaborations with top universities like Lanzhou University, China; Gachon University, Korea; University of Naples, Italy; University of Arkansas, USA; University of Maryland, USA. 

Shoolini University is UGC Approved and NAAC Accredited.

Shoolini has dedicated Centres of Excellence for Data Science:

Key Highlights 

  • State-of-the-art computer labs 
  • Collaboration with Ikigai Lab, IIT Kanpur 
  • Patents filing by students and faculty encouraged 
  • 3rd in Research and Patent Filing (India Today) 
  • Guest lectures by global experts in the field of Data Science 
  • Highly qualified and experienced Faculty

 

Research Opportunities

Machine Learning | Artificial Intelligence | Databases| Statistics | Optimization | Natural Language Processing | Computer Vision | Speech Processing

XR/AI Research Centre

Drives innovation by offering immersive, hands-on experiences with emerging tech.

Collaboration with AWS Academy

Students can pursue industry-recognised AWS Certifications.  

Research Grants

Government agencies such as DST & HIMCOSTE have provided research and infrastructural grants for advanced labs.

PhD Data Science Career Opportunities

    Students who successfully complete PhD Data Science have a bright future ahead of them. They can consider positions in teaching, research and industry. Some of the key career positions that students with a PhD in Data Science can seek are: 

    • Data Scientist 
    • Machine Learning Engineer 
    • Machine Learning Scientist
    • Statistician 
    • Application Architect 
    • Enterprise Architect 
    • Data Architect
    • Data Analyst 
    • Infrastructure Architect 
    • Data Engineer 
    • Business Intelligence Developer 
    • Professor and Researcher 

Top Faculty

Student Voices

Kamna Sharma (PhD)

Sunil Kumar (PhD)

Indu Negi (PhD)

RaviKant Thakur,Phd

Top Campus Recruiters

Some of the major companies that visit our campus and hire our graduates are:

Frequently Asked Questions

Shoolini University PhD Data Science is NAAC B+ accredited and has UGC certification.

Students passing out after successfully completing their PhD in Data Science can seek career positions as Data Scientist, Machine Learning Engineer, Machine Learning Scientist, Application Architect, Enterprise Architect, and Data Architect, to name a few. They can also consider a career in research or teaching.

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 Data Science 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 in the USA, Canada, Italy, the United Kingdom, China, South Africa, and Saudi Arabia. Research opportunities and student exchange are also available for PhD Data Science 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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