Department of Business Analytics & Data Sciences
According to a study by International Data Corporation (IDC), by 2020, the world is set to generate 50 times the amount of data as in 2011.
Recent studies have highlighted that the current data output is 2.5 quintillion bytes of data daily. Due to exponential growth of data, most of the business organization need to invest in the data gathering and data analysis tools to keep pace with its competitors.
Data science and machine learning jobs will continue to grow for the foreseeable future. As per the McKinsey Global Institute estimates the US could have as many as 250,000 open data science jobs by 2024. To meet the analytical skill manpower gap companies needs to train their current officers or to hire new manpower with analytical skills.
The rising demand for data scientists has created a talent gap that can be bridged by facilitating Workshops/MDPs/Executive Programs that aim to build strong foundation of data science concepts and machine learning algorithms for predictive modeling.
Keeping in view the international industry trends, NDIM was the first to introduce Business Analytics as a specialization in its highly sought after MBA programme to keep pace with ever expanding industry requirements. The Department of Business Analytics & Data Sciences offers following courses:
- Machine Learning Using R and RapidMiner
- Data Analytics using Python
- Data Analysis Using SAS
- Data Analytics using R
- Programming skills with Python
- Understanding DataBase Management Systems
All courses follow the Pedagogy given below:
- 100% Instructor led Hands-on Campus Sessions.
- Working on real Business Cases and Application Based Learning on Real-time Projects drawn from the Industry.
- Multi domain Case studies on Finance & Risk Analytics, Social Media Analytics, Marketing & Retail Analytics, Supply Chain Analytics, HR Analytics etc.
The Department has a strong Academic Council with professionals from McKinsey, Barclays, KPMG, ITL etc; and coalescing the academic and industrial inputs brings greater value to the courses offered.
The department is run by result oriented faculty with strong academic background with over 20 years of expertise and trained in latest tools like R, Tableau, Python, SAS, RapidMiner, TensorFlow, Blockchain Technologies.
Dr. Rinku Dixit
Prof. Kamal Kundra
Prof. Shailee Choudhary
BRICS CCI through its School of Analysis has partnered with NDIM to jointly offer ‘online’ programs in Data Sciences in India & the BRICS and other countries. BRICS Chamber of Commerce & Industry is India’s leading Industry Chamber strongly networked and directly connected to the BRICS Countries. BRICS CCI and NDIM have partnered to pool in their strengths for delivering the finest quality programs in Data Sciences, quality of teaching & learning being a concern in these programs delivered at some other forums.
To take the benefit of the expertise of NDIM and BRICS CCI in the field of Data Sciences to all those who are not getting quality education in this new field, both of them have partnered also to deliver Under Graduate and Post Graduate Certificate Programs of 1 to 11 months duration of Classroom contact hours at NDIM campus in addition to the ‘online’ programs.