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MEET OUR FACULTY

 

Prof Abhijit Dasgupta

(Director – Bachelor of Data Science and Big Data & Visual Analytics, SP Jain)
Areas of Expertise: Data Science and Analytics

Prof Aditya Narvekar

(Faculty, SP Jain)
Areas of Expertise: Python Programming, Financial Analytics

We know this is a crucial time for you as you consider your plans for your undergraduate study. We want to help you be prepared and chart a way forward. Join us for a webinar with our renowned faculty to learn about SP Jain’s 3-year Bachelor of Data Science program and understand how you can safely pursue your study abroad aspirations at top business capitals close to your home. You will get the opportunity to:

  • Get an in-depth understanding of what the program has to offer
  • Discuss your career goals and the future of data science
  • Discover our diverse student community and their experiences
  • Learn how you will gain hands-on technical expertise with projects & internships
  • Know the benefits of Post Study Work Rights in Australia upon graduation
  • Network with your peers and build professional contacts

It’s time to get excited about your education again! Your bachelor's degree is a stepping-stone to your dream career. We encourage you to register for the webinar and take the first step towards joining our Class of September 2020. You will receive the login details upon registration. We look forward to interacting with you and helping you with any questions you might have.

 

Program Overview


SP Jain’s Bachelor of Data Science (BDS) is a 3-year course designed to prepare graduates who can conduct data-driven investigations, and conduct visual and advanced analytics by acquiring and managing data of all types. Through this course, graduates will develop an in-depth understanding of data science and the techniques for analysis of quantitative and qualitative data to arrive at solutions. They will be able to identify patterns, predict trends, and analyse data from sectors such as manufacturing, banking and finance, retail, and healthcare.


The program can be pursued in any one of the two formats:

  • Format 1: Study in Mumbai (Year 1) and Sydney (Years 2 and 3)
  • Format 2: Study in Sydney (Years 1, 2 and 3)
Download BrochureApply Now

Apply and enrol before June 30, 2020 to receive a rebate of USD 500

Program Highlights

3-year full-time undergraduate program

STUDY IN MUMBAI & Sydney

Ideal for Grade XII applicants
(with an aptitude for Math, Statistics & Programming)

Graduate with an Australian degree

 
 

AUSTRALIAN DEGREE & POST STUDY WORK RIGHTS IN AUSTRALIA


AUSTRALIAN DEGREE: SP Jain is registered as a Higher Education Provider with the Tertiary Education Quality and Standards Agency (TEQSA), Australia. On graduation, students receive a degree conferred by SP Jain School of Global Management, Australia. This recognition greatly enhances the international value of your degree.

POST STUDY WORK RIGHTS: Australia has always been an education hub and the addition of Post Study Work Rights (PSWR) for 2 years* has made Australia a more conducive and exciting option for undergraduate and postgraduate study. BDS students, on completion of 2 years of full-time academic study in Sydney, are eligible to live and explore career opportunities in Australia for 2 years*.

*Applicable as per the current Post Study Work Visa Rights in Australia. The laws are subject to change.


AUSTRALIAN DEGREE
 
 

PROGRAM FEATURES & CURRICULUM

The program curriculum covers the essentials of Statistics and Programming, and dives deep into Data Science.

 

  • Year 1: Discrete Mathematics, Mathematical Statistics, Introduction to Computer Programming, Introduction to Databases, Linear Algebra, Calculus, Introduction to Data Science, Statistical Data Analysis
  • Year 2: Advanced Calculus, Algorithms and Data Structures, Data Integration and Warehousing, Visual Analytics (or Explorative Data Analysis), Matrix Algebra and Applications, Programming for Analytics, Consumer Behaviour and Marketing Research, Machine Learning
  • Year 3: Simulation Modelling, Data Mining, Object Relational and NoSQL Databases, Data Science Capstone Project I, Social Web Analytics (or Web, Internet of Things, and Social Media Mining), Advanced Analytics (Stream, Sensor and Spatio-temporal Analysis), Big Data Processing Techniques and Platforms, Data Science Capstone Project II

 

INTERNSHIP
In Year 2, between semesters 4 & 5, students have a winter break of nearly 4 months. The skills students have developed will enable them to apply for internships in companies like Google, Facebook, Amazon, Microsoft, Palantir, SAP, Oracle, Goldman Sachs, JP Morgan and SAS. SP Jain will work with students to help place them in relevant firms for an internship. This can't be guaranteed but is a priority to help all students achieve this.

 

CAPSTONE PROJECTS
In the third and final year, students undertake applied analytics capstone projects that give them practical and hands-on experience in identifying and interpreting actionable information from raw data and using them to make informed and mathematically valid decisions.

Upon graduation, you will be equipped to fill the need for data expertise in practically every field imaginable – from IT, Consulting, and BFSI to Healthcare, Education, Retail, Telecom, and Media. Data Science graduates will be well positioned for careers in data mining, data modelling, data architecture, extraction, transformation, loading development, and business intelligence development, and for roles like Data Scientists, Analysts, Developers, and Consultants.

Faculty members are the heart of any academic program. They create the conditions that bring out the best in students. SP Jain's faculty is selected on the basis of proven success and expertise. They are among the best in their respective fields, a multinational collective of recognised scholars and experts who bring a wealth of research, teaching, and industry experience to the classroom.

Aditya Narvekar
MS Computer Science (Drexel University, USA); MBA (NYU Stern, USA)
Areas of Expertise: Python Programming, Financial Analytics

AK Chakraborty
BStat, MStat (ISI Calcutta, India); PhD (IISc Bangalore, India)
Areas of Expertise: Statistics and Statistical Machine Learning

Arun Chatterjee
Visiting Faculty
PhD (IIM Bangalore, India)
Area of Expertise: Business Analytics

Ashoka Chaudhuri
MS, MPhil
Areas of Expertise: Mathematics and Applied Mathematics

Debashis Guha
BTech (IIT Kharagpur, India); PhD (Columbia University, USA)
Areas of Expertise: Machine Intelligence & Deep Learning

Joseph Konstan
(Distinguished Visiting Faculty)
AB (Harvard University, USA); PhD (UC Berkeley, USA)
Areas of Expertise: Recommender Systems and HCI

Maddulety Koilakuntla
PhD in ISO 9000 & QS 9000 Quality Systems
Areas of Expertise: Statistics and Operations Research

N Sarala
MS Computer Science (SNDT University, India)
Areas of Expertise: Databases, Web Development and Visual Analytics

Narasimha Karumanchi
(Distinguished Faculty)
MS (IIT Bombay, India)
Areas of Expertise: DevOps, Data Structures & Algorithm

Navnit Belur
MS Computer Science (Georgia Institute of Technology, USA)
Area of Expertise: Data Science in Python

Nitin Sharma
MS Computer Science (University of Mumbai, India)
Areas of Expertise: Cloud and Big Data

Prasad Patil
MS (State University of New York, USA)
Area of Expertise: Applied Statistics

Sunil D Lakdawala
MS (IIT Bombay, India); PhD (Yale University, USA)
Areas of Expertise: Data Warehousing, Data Mining

Suchismita Das
PhD (Indian Institute of Science Education and Research, India); MS (IIT Kharagpur, India)
Areas of Expertise: Mathematics and Statistics

Swagoto Chatterjee
Visiting Faculty
PhD (IIM Bangalore); BTech (IIT Kharagpur)
Areas of Expertise: Data Warehousing, Data Mining

Admissions are open to the September 2020 intake of our Bachelor of Data Science program.

Program fees for the September 2020 intake

Year 1 (Mumbai) INR 12,98,000
Year 1 (Sydney) USD 26,450
Year 2 (Sydney) USD 26,950
Year 3 (Sydney) USD 27,450

Apply and enrol before June 30, 2020 to receive a rebate of USD 500

Apply Now
  • Students must have completed high school/secondary school/junior college or some equivalent form of secondary education
  • Students are shortlisted on the basis of their Year 10 or most recent Board exam (taken in the past 2 years) and SP Jain Entrance Test (SPJET) or SAT score

EXPLORE OUR OTHER UNDERGRADUATE PROGRAMS

About SP JAIN

SP Jain School of Global Management is an Australian business school with campuses in Dubai, Mumbai, Singapore and Sydney. We relentlessly strive to reimagine business education and offer innovative courses in dynamic, world-class cities. Our efforts have been recognised by highly regarded global rankings that include Times Higher Education-Wall Street Journal, Forbes, The Economist and the Financial Times.

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