Digitalization across the domains is creating tons of data and the demand for Data Science professionals who can evaluate and extract meaningful insights is increasing and creating millions of jobs in the space of Data Science. Further millions of opportunities are available for the niche skills in using this data for industry automation and building intelligence using Machine Learning and Artificial Intelligence algorithm. There is a huge void between the demand and supply and thereby creating ample job opportunities and salaries. The Data Scientist career path is long-lasting and rewarding as the data generation is increasing by leaps and bounds and the need for Data Science professionals will increase perpetually.
Machine Learning (ML) , Artificial Intelligence (AI) and deep learning (DL) are significant in their use for data science (DS). These technologies enable two roles namely data scientists and software engineers. They helps to combine the complex analytical model created by data scientists with skill of programming to systems to help the business in automation and developing intelligence and improve business efficiency and profitability.
The US Bureau of Labour Statistics predicted that the rising importance of data science will lead to the creation of approximately 11.5 million job openings worldwide by 2026.
The average salary varies from Rs. 7 LPA to Rs. 24 LPA depending upon skills and experience.
The average salary varies from $66K to $1.1 Million per annum depending upon skills and experience.
To get familiarise with the basics, problem solving and learning methods using AI-ML technologies and its impact in growth of the industries.
To give detailed understanding in these technologies with maximum hands-on experience and the capstone projects related to industries.
To leverage student’s skills and potentials to be world-class industry ready professionals.
This course is intended to give a complete understanding of Data Science, AI-ML concepts to build a successful career in Data Science, AI-ML and Deep learning technologies.
Learn and use the fundamental principles of mathematics, statistical analysis, computing science using data sets, AI-ML and mobile technologies to design, analyse and develop solution for specific problems.
Learn to use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
Have detailed understanding of fundamental principles, concepts, and statistical methods to develop an algorithm to solve complex problems in industries.
Conduct investigations of complex computing problems.
Integrate data from disparate sources and transform the data to generate meaningful outcome to get business insights
Ready with the latest market trends in AI-ML and Deep Learning.
Hybrid
12 Months (1000 Hrs)
Data science AI-ML
Graduate Students and professionals. Some familiarity with python /java programming, knowledge on AI-ML analytical tools will be an added advantage.
**Note: Students who feel they don’t meet the prerequisites for the course are encouraged to get in touch with the programme coordinator before registering.
Our Admission process enables us to meticulously give importance to every individual applying. The admission of the applicant will majorly be based on our admission process scores.