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What is the Structured Internship Program?

  • Just as a Systematic Investment Plan (SIP) in the investment world allows individuals to steadily grow their wealth over time, our structured internship program in data science provides a similar path for aspiring data scientists [campus to enterprise category] to systematically develop their skills and knowledge in a progressive manner. 
  • Much like how an SIP involves regular investments to build long-term financial stability, our internship program offers a structured approach to gaining practical experience, acquiring new technical competencies, and expanding one’s professional network in the field of data science.
  • By participating in our program, interns can witness their growth and development in data science unfold incrementally.
  • Just as an SIP gradually accumulates wealth over time. With a clear roadmap, dedicated mentors, and real-world projects, our structured internship program empowers aspiring data scientists to make steady progress toward their career goals and flourish in this rapidly evolving field.
  • Internship provides an insight to what it takes to get the job done at the workplace, understand the practical challenges while solving business problems, interact with experts and work in teams. 
  • The social skills that are built through their connections with other students/learners and employees will be invaluable. 
  • Academic institutions can consider the work done during the internship, as practical knowledge of the proposed curriculum. Internships help students to take accountability of work, self-organize themselves and explore unchartered technology territories.
  • The duration of a structured internship program in data science can vary depending on the expected take aways / objectives, number of interns and their availability to undergo an internship of a specific duration.
  • Typically, internship programs in data science range from 2 weeks to 2 months, with an average duration of 4 to 6 weeks.
  • However, the specific time allocation for each component of the program can vary.
  • Here’s a rough breakdown of time allocation for a 8 week [2 month] internship program:
    • Orientation and Goal Setting: 2 days
    • Foundational Knowledge: 1 week
    • Technical Skill Development: 1-2 weeks
    • Real-world Project Assignments: 1-2 weeks
    • Mentoring and Feedback: Ongoing throughout the program
    • Advanced Techniques and Specializations: 1 week
    • Communication and Presentation Skills: 1-2 weeks
    • Industry Exposure: 2 days
    • Professional Development: Ongoing throughout the program
    • Culmination and Evaluation: 2 days
Delivery model

The structured internship program will be offered in a hybrid format.

Eligibility criteria
  • Applicants must must be pursuing graduation or completed graduation and is on the look out for a job in data science domain
  • Applicants will have to undergo the Bhrighu entrance test and score minimum 60%
completion criteria
Completion criteria
  • Minimum attendance
  • Performance in meetings and discussions with mentors and faculty.
  • Ability to contribute to project deliverables at an individual level and as part of a group
What is in it for you
  • Interns get a certificate of completion on successfully completing the Structured Internship Program.
  • Along with the certificate you will also receive a competency profiling report which you can showcase to your prospective employer.

Do you have any questions OR you just want to have a discussion.