MBA in Business Analytics & Intelligence
DURATION
18 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
EUR 13,500 / per year
STUDY FORMAT
On-Campus
Introduction
Business analytics has taken up the top pedestal across the globe. Irrespective of the nature of the industry, big data has cultivated entirely unconventional ways of looking at 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. Be it industry or academia, Big Data analytics is the primary focus. The reason for it is data has been growing by leaps and bounds. As a result, businesses increasingly need candidates who can quickly analyze and understand the implications of huge amounts of information.
This program would enable students to sort and analyze the data and fetch valuable organizational insights from it. The application of big data analytics extends to a multitude of areas of business including finance, marketing, supply chain, and more. The post-graduate program in business analytics and intelligence involves a multi-disciplinary approach wherein special attention is given to emerging Big Data tools like Hadoop and Cloud Architecture. This program is everything one would need to make an effective career shift and delve into the world of big data analytics. The MBA in Business Analytics & Intelligence is an experiential degree program that aims to transform you into a hands-on skills-driven, strategic Business Analytics Specialist in today’s data-driven economy.
It provides an edge to any professional by equipping them with better decision-making skills, and apprising them of holistic areas of management to allow them to be a top-level executive. Data sets employed for teaching will be real data based on various industries like Biotech, Energy, Financial Services, Gaming, Hospitality, Government, Manufacturing, Pharmaceutical, Telecom, travel and tourism, etc. The Capstone project allows students to work on real business problems. This makes you employable in almost all industries and all verticals.
After the end of this program, students will be able to:
- Develop the capability to read and understand huge amounts of data.
- Gain an understanding of various methodologies to clean/analyze the data from various sources.
- Build the capability to question the validity and usage of the data received, and its relevance to solve the problem at hand.
- Develop the ability to adopt various tools/technology/platforms used in the big data scenario.
- Build the positive perspectives and skills that create productive managerial leaders and business networks to create world-class teams.
Admissions
Curriculum
Courses
- Transformational Management (4 ECTS)
- Managerial Economics (3 ECTS)
- Organisational Behaviour (3 ECTS)
- Financial Reporting & Analysis (3 ECTS)
- Marketing in a Digital World (3 ECTS)
- Data Analysis for Managers (4 ECTS)
- Business Analytics and Research Methods Foundation (4 ECTS)
- Advanced Excel (4 ECTS)
- Programming for Analytics using Python (4 ECTS)
- Predictive Analytics Methods (4 ECTS)
- Business Communication (3 ECTS)
- Professional Career Lab (1 ECTS)
- Artificial Intelligence and Machine Learning (4 ECTS)
- Big Data and NoSQL (4 ECTS)
- Data Warehousing and Management (4 ECTS)
- Data Visualization and Storytelling with Tableau (4 ECTS)
- Ethics in Business Analytics (4 ECTS)
- Electives (Choose One) (30 ECTS)
- Financial Analytics
- Human Resource Analytics
- Sports Analytics
- Logistics and Supply Chain Analytics
- Marketing Analytics
- Healthcare Analytics
- Spanish Language (10 ECTS)
- Internship (20 ECTS)
Total ECTS Credits : 120
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:
- Big Data Analyst
- Business Intelligence Manager
- Data Scientist
- Predictive Analytics Specialist
- Business Analytics Consultant
- Quantitative Analyst
- Market Research Analyst
- Data Analytics Manager
- Chief Data Officer (CDO)
- Financial Data Analyst
Accreditations
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.