In an increasingly digital world, Data Science plays a crucial role in driving decisions, innovation, productivity and success. Big Data analytics has changed the way organisations identify trends, challenges and new opportunities.
In an increasingly digital world, Data Science plays a crucial role in driving decisions, innovation, productivity and success. Big Data analytics has changed the way organisations identify trends, challenges and new opportunities.
This means that Big Data has the potential to bring about enormous social and economic benefits. A strategic use of Big Data will form the key basis of competition, underpinning new waves of productivity, growth, innovation and consumer surplus.
SP Jain’s Bachelor of Data Science (BDS) is a 3-year full-time undergraduate program designed to prepare graduates who can conduct data-driven investigations and visual and advanced analytics by acquiring and managing data of all types.
Through this program, students will develop an in-depth understanding of data science and the techniques for analysis of quantitative and qualitative data to arrive at solutions. The BDS program curriculum is made of a blend of core, ethics and employability skills, and industry collaborated projects that give students practical, hands-on experience.
Successful BDS graduates will be well-equipped to fill the need for data expertise in various sectors such as IT, marketing, manufacturing, banking and finance, retail and healthcare. They will also be prepared to undertake graduate studies.
Explore study options in world-class cities like Mumbai and Sydney
Students can choose to pursue the BDS program in one of the following formats:
Study on-campus in Mumbai (Year 1) and Sydney (Years 2 and 3); or
Study all three years on-campus in Sydney
Note: This program is not offered in Singapore and is not approved or attested by CPE.
Your safety is our highest priority. Amid the uncertainty surrounding COVID-19, if face-to-face classes on campus are not feasible, the classes will be held online
Graduate with an Australian Degree
Upon completing your Bachelor of Data Science degree, you may be able to continue to live and work in Australia by applying for a post-study work visa of up to 4 years*
Explore our Singapore Campus
Become part of a vibrant, global community
You will find the multicultural spirit of Singapore right here on our campus, where students from different countries around the world start their learning journey every year.
We are located at 10 Hyderabad Road, where we occupy a sprawling estate comprising two stand-alone buildings within seven acres of gardens. The campus is lush, green and gorgeous and set next to HortPark, Kent Ridge and Telok Blangah Hill Park.
The SP Jain Singapore campus is located in the heart of the city, within close proximity to downtown Singapore. We are easily accessible by cars and public transport. Our campus is a short walk from food courts, supermarkets, clinics, shopping malls, and banks/ATMs.
Campus Facilities
Our campus has top-notch amenities to help you make the most of your SP Jain experience
Our campus is designed to support collaborative learning. Block A is the main academic unit of the SP Jain Singapore campus. The building is spread over six floors. The first three levels of the building house learning centres, meeting rooms, recreational spaces, faculty offices and a leadership hall. The upper three levels are accommodation rooms for students.
Block B is the heritage block and houses learning centres, a library, student accommodation, student lounges, a banquet hall and a cafeteria that offers a variety of cuisines to cater to our diverse student community.
The building also includes offices for faculty, academic support, corporate relations, alumni relations, marketing, admissions, student recruitment and other departments that support students in their learning journey and ensure the school’s smooth operations.
Students can stay healthy by exercising in the gym (in Block A) or playing sports on our outdoor courts. They can also take long walks around the campus or on the Mount Faber Sky Walk trail, located just outside the campus.
Learning Centres
Our classrooms are equipped with lecterns, which consist of computer system access for presentations, and audio reinforcement systems, which include microphones, speakers and related equipment.
Additionally, all classrooms are equipped with projectors, and large classrooms have two projectors for better viewing.
All programs use the same classrooms, as they are similar in terms of equipment, and most are tiered. The size of the classroom is decided based on the cohort size. For teamwork, students are grouped in teams in breakout rooms.
Computing Facilities
Explore our advanced computing infrastructure designed to empower your learning journey. Our comprehensive hardware and software resources are integrated to provide unparalleled academic support.
Our Vision
To be an influential, futuristic international business and technology higher education institution recognised for leading innovative, principled education and applied research.
Our Mission
To equip our students with the ability to explore, examine, think critically and develop professional skills to become effective and responsible global leaders.
Our aspiration is that they will apply their technological and entrepreneurial acumen to solve problems in an ever-evolving world that will be continually disrupted by technology, politics and environment.
To develop and support our academic team with an ecosystem wherein they can individually and as an academic community contribute meaningfully to the industry and society through excellence in learning, teaching and practice-oriented research.
Our Values
In pursuing our goals, we value:
Academic freedom
Innovation, initiative and creativity
Leadership
Recognition of merit
Accountability, integrity and transparency
Equity, opportunity and diversity
Teamwork
Sustainability
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With the rise of AI and machine learning, organizations need to efficiently develop and implement data science capabilities to stay competitive. Pursue a computer science (Data Science) degree and attain programming skills such as Python, data mining and big data analytics.
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