MBA in Data Science AI & Machine Learning Online
DURATION
12 Months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest startdate
TUITION FEES
EUR 490 / per month
STUDY FORMAT
Distance Learning
Introduction
Data science has emerged as the fastest-growing career field in the past decade. Irrespective of the nature of the industry, data science has cultivated entirely unconventional ways of looking and working with data guided by standard statistical and mathematical principles. What is fascinating is the deep insights we gain with this – “Data is the new fuel”- as commonly known.
Data science and Machine learning are the buzz words that go hand in hand. This one of its kind MBA programs is a blend of data science and machine learning to enable students business decision making and analytics. The MBA is an experiential degree program that focuses on transforming you into a hands-on skills-driven, strategic Data Science Manager in today’s data-driven economy.
Highlights:
- Meticulously designed curriculum to suit the industry needs and focused on the practical applications
- Online delivery with continuous mentoring and 1 on 1 support
- Best in class mentors and teachers coming across from international institutes around the globe
- Guided live projects from various industries in all the relevant courses
- Placement assistance
- Projects will be done on the most popular Analytics Tools
- Application of theoretical concepts to solve business problems
- Exposure to the latest Industry Trends
- International faculty
- Many multinational companies are involved in delivery, mentoring, and support.
Some of the tools and concepts covered in this program are:
Data science and statistical concepts, Programming with Python, R, SQL, NoSQL, Artificial Intelligence, Machine Learning, Big Data, Natural Language Processing, Cloud Computing, and many more.
ESDST offers Recognition of Prior Experience (RPE) and thus a formal bachelor’s degree is not mandatory for entering this program.
Admissions
Curriculum
- Approximate Course Length: 3-4 weeks
- Total ECTS Credits: 60
- Maximum Number of Transfer Credits: 30
The ESDST Online MBA program in Data Science and Machine Learning consists of 18 courses` spanning various subjects on data science and ML. The course is loaded with multiple hands-on projects/assignments with at least one capstone industry-linked project wherein each student will be required to work on a unique, real-world business problem. The duration of each course will be around 3 weeks constituting 5 to 6 ECTS credits. Students must complete all these courses and the capstone project to earn a total of 120 ECTS to qualify for the MBA in Data Science and Machine Learning.
1st Semester – Management Foundation
- MBA-101 Managerial Skills - 4
- MBA-102 Accounting for Financial Reporting - 4
- MBA-103 Marketing Management - 4
- MBA-104 Cutting Edge Leadership - 4
2nd Semester – Data Tool Kit and Analytics
- MDS-101 Machine Learning Foundation - 4
- MBA-106 Business Statistics - 4
- MBA-108 Programming for Analytics using R - 4
- MDS-102 Machine Learning Methods - 4
3rd Semester – Data Science Application and Visualization
- MDS-103 Artificial Intelligence and Robotics - 4
- MBA-110 Big Data and NoSQL - 4
- MBA-111 Data Warehousing and management - 4
- MBA-112 Data Visualization and Storytelling with Tableau - 4
4th Semester
- CP-101 Capstone Consulting Project (Master Thesis) - 12
Total Credits: 60
Program Outcome
The ESDST MBA in Data Science & ML will equip our graduates with the necessary skills and knowledge to assist them in their career growth. With an equal focus on theoretical concepts and practical applications, the program enables exposure of the students to understand the nature of work, complexities involved and viable solution approaches for industry problems. Ample business projects, training on advanced tools, and guidance by industry mentors will allow students to gain a 365-degree exposure to the world of data science.
Each student at ESDST is matched with an Industry mentor, preferably in the same industry in which the student is working or has aspirations to enter. The mentor guides the student through the course and provides the student with real-life experiential learning along with core learning taking place in the program.
Primary outcomes:
- Develop a deep understanding of data science concepts and machine learning algorithms and how are they applied together
- Comprehend business problems and develop an approach to solve them through DS/ML principles
- Build an approach to intelligently study and skim data to suitably narrow down on ML algorithms, which deliver a viable solution
- Build the positive perspectives and skills that create productive managerial leaders and business networks to create world-class teams
- Be proficient in the usage of tools/technologies prevalent in the data science industry
Career Opportunities
After successful completion of the program, career roles would be guided by the level of expertise of the students and prior experience. For working professionals, avenues range from career shift/transformation from the current role to a data science role. For fresh graduates, the knowledge and skills developed during the MBA program would enable them to apply for suitable positions centered around their skills and interests. Students can target any of the following roles:
- Data Scientist/Data Manager
- Data Science Consultant
- Machine Learning Specialist/ Machine Learning Manager