PhD Data Analytics

Eligibility: Four-year graduation degree by research or two-year master’s degree in Data Analytics, Statistics, Computer Science, Mathematics, or a related discipline with a minimum of 55% marks.

  • Duration: 3 Years
  • Admission Process: 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 master’s degree in Data Analytics, Statistics, Computer Science, Mathematics, or a related discipline with a 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 in Data Analytics is a 3-year interdisciplinary program at Shoolini University. It focuses on the systems and technologies to process data and information. This program includes the human and social implications of information and technology, bringing in critical components of cognition, ethics, biases, and storytelling into a strong, big data analytics curriculum. 

On completion of the program, scholars can become advanced big data practitioners, researchers and scientists who can work with large amounts of data, write code, develop models and build systems. Additionally, they understand the potential biases and ethical uses as well. They learn to design, implement and evaluate information-focused big data technologies that support decision-making across social and organisational contexts.

Shoolini scholars get global exposure through international exchange opportunities with renowned universities across the world. Prominent among these are, University of Arkansas, USA; Lanzhou University, China; University of Naples, Italy; Taipei Medical University, Taiwan; Gachon University, South Korea; South Dakota Mines University, USA.

Shoolini also has dedicated Centres of Excellence for Data Analytics:

Shoolini University is UGC Approved and NAAC Accredited.

Key Highlights 

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

PhD Data Analytics Career Opportunities

    • Data Governance Specialist
    • Quality Insights & Reporting Analyst
    • Data Operational Analyst
    • Manager – Data Governance
    • Data Scientist
    • Data & Automation Specialist

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