SP Jain Global's BDS programme records 100% placements; highest package at AUD 105,000

NEW DELHI: The SP Jain School of Global Management (SP Jain Global) has announced that its Bachelor of Data Science (BDS) programme has achieved 100% placements for the Class of 2024. This marks the third consecutive year of 100% placement in SP Jain Global. As per the official statement, SP Jain Global’s BDS programme has achieved 100% placements for the third consecutive year.

As per the SP Jain Global placements data 2024, the highest salary package reached AUD 105,000 (plus benefits), while the average package stood at AUD 84,750.

SP Jain Global Placements 2024: Recruiters

Graduates from the BDS programme have been recruited by companies including Greenstone Financials, Telstra Corporation Limited, Ingrity Pty Ltd, TAL Australia, Eucalyptus Australia, Bupa Australia Pty Ltd, Epicentre Engineers Pty Ltd, and Morgan Stanley Capital International.

The hiring sectors in SP Jain Global placements 2024 include IT Services & Consulting (46%), Financial Services (23%), Telecommunications (8%), and Healthcare (8%). The SP Jain Global BDS programme has prepared students for roles such as data analysts, data scientists, IT consultants, and business intelligence specialists.

Internship opportunities

Students have also secured internships at global organizations such as NP Investment Research (USA), Adaptive Investments (USA), Grameen Foundation, Frost & Sullivan Australia Pty. Ltd, Endeavour Group (Australia), St Trinity Property Group (Australia), University of Wroclaw (Poland), CSIRO (Australia), CyberArc Inc., and National Taiwan Normal University (Taiwan).

Several students have participated in hackathons, presented research at IEEE and Google conferences, and published award-winning research papers.

SP Jain Global BDS programme curriculum

The BDS programme is designed as a three-year course focusing on industry-relevant skills, covering subjects such as statistics, programming, machine learning, and big data analytics. The SP Jain Global BDS programme curriculum includes advanced topics such as calculus, linear algebra, simulation modelling, data mining, social web analytics, and big data processing techniques and platforms.

Abhijit Dasgupta, director of the BDS programme at SP Jain Global, said. “We are thrilled to celebrate another year of 100% placements for our BDS graduates. The fact that our students have earned salaries 40% higher than the average graduate compensation in Australia reflects not only their exceptional technical expertise and problem-solving capabilities but also the rigorous training and industry-relevant exposure they receive during the program. It is a proud moment for us to see their talents being recognised and rewarded on a global stage.”

Student experience

Shubh Mehta, a 2024 graduate, credited the program’s curriculum and mentorship for his success.“The program’s immersive curriculum and personalised mentorship boosted my confidence and equipped me with practical insights that were instrumental in achieving multiple milestones. During my time at SP Jain Global , I secured several prestigious internships, published award-winning research papers, and even earned a patent to my name. This robust foundation and extensive support of the placement team in providing multiple job opportunities secured me a full-time position at Greenstone Financials after graduation. I owe my success to the program's holistic approach to education and career development” , said Mehta. Mehta also secured admission to the MS Computer Science programme at Harvard University.

Career prospects and post-study opportunities

The BDS programme at SP Jain Global is open to high school graduates with a strong background in mathematics and science. Offered in Mumbai and Sydney, it provides students with a blend of theoretical and practical learning. Graduates are also eligible for a post-study work visa in Australia, offering them the opportunity to gain international work experience.

Career opportunities for graduates include roles such as data scientist, data analyst, machine learning engineer, business intelligence analyst, data engineer, and ai specialist.