Duration :2 years Full-time
Specialization : Data Science and Artificial intelligence
Campus : Ajeenkya DY Patil University, Pune
About Data Science and Artificial Intelligence
With Data Science and Artificial Intelligence taking over the global business setups by joining forces, this area has become a specialized stream of knowledge that enables brands to stand out in the market and capture new customer base. Brands are now able to offer micro-personalized and quality experiences to customers. This calls out for new skill development for managerial professionals.
Our MBA in Data Science and Artificial Intelligence is designed to make the knowledge accessible to non-specialists and empower specialists to broaden their range of skills in the technology sector. The course core has a trifecta offering of engaging students in scientific learning, tech knowledge further strengthened with managerial projects. This trifecta makes it a specialized programme where students are immersed in necessary skills to become leading experts and professionals in the fields of Data Science and Artificial Intelligence.
- Big Data has joined forces with Artificial Intelligence to enable companies to stand out in their markets.
- Data science market trends show that the data science platforms market was valued at USD 96.3 billion in 2022, and it is expected to reach around USD 378.7 billion by 2030, growing at a compound annual growth rate (CAGR) of 16.43% from 2023 to 2030./li>
- Due to the increasing demand for data science professionals, the job opportunities in the field are abundant.
- This MBA is designed to make Big Data and Artificial Intelligence accessible to non-specialists and allow specialists to broaden their range of skills.
- It offers a foundation of scientific, technological, and managerial knowledge essential to succeed in the business world.
Who should apply?
Are you a solution-oriented person who loves to work with data to find answers?
Do you have an aptitude for numbers and management?
This course is apt for you if you are interested in technology transforming our lives. Apply for this futuristic MBA programme if your daily routine involves reading about how brands are using the power of AI and Data Science to transform their business functions.
We believe in your passion for the sector and your career goals. Graduate from all streams are encouraged to apply for this courses.
Flavour of the Curriculum
- Business Economics
- Marketing Management
- Business Statistics
- Design Thinking
- Business Research Methods
- Human Resource Management
- Strategic Management
- Python Programming
- Data Management
- Excel for Business
- Machine Learning & Artificial Intelligence
- Data Warehousing and Mining
- Big Data Analytics
- SQL for Big Data – HIVE
At MBA ESG India, we follow a prudent and curated mix of pedagogical methodologies to transform our students. The foundation of this curated mix are:
- Experiential Learning through Learning by Doing Case Study Teaching
- Problem and Enquiry – based Learning
- Applied Learning with Live Projects
What will you learn? / Programme benefits
- Understand and apply key issues and principles of data analytics.
- Evaluate the potential and limits of Artificial Intelligence.
- Appropriate the tools and techniques necessary for the conduct data science, analytics and artificial intelligence projects.
- Design and perform experiments that incorporate data science and AI learning algorithms.
Data Science: Data Scientist, Data Analyst, Multichannel CRM Manager, Data Privacy Officer, Product owner, Web Analyst, Master Data Manager and more
Artificial Intelligence: Artificial Intelligence Marketing Manager, Artificial Intelligence Business Manager (IA²), AI Resource Manager (Robot Coach), Artificial Intelligence Project/Program Manager and more.
With a few years of experience, you will be able to progress to Chief Data Officer (CDO), Chief Intelligence Officer (CIO).
Course fee is INR 10,00,000 for a period of 2 year.
Educational immersion trip to Paris is not included in this and required to be paid for separately.