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Description
This programme is for students who would like to solve business problems through quantitative data analytics. Organizations today realize that data analytics is a critical competitive capability to survive in the new era of Big Data and Artificial Intelligence. Businesses now have abundance of data at their disposal generated from traditional functions such as sales and operations, but also, more recently, from social media and the Internet of Things. That has made the volumes and variety of data of value to businesses very large, effectively dubbed as the Big Data era.
Mining data and finding insights of value to businesses is a crucial process to move from raw and seemingly messy data, to organized insights supporting evidence-based management. For example, classifying free-text tweets of consumers opinions of a certain company’s product into positive, neutral, and negative sentiments can help the company identify potential issues and deal with them in a proactive manner.
This MSc in Business Analytics is for graduates with degrees that include quantitative techniques such business, management, mathematics, physics, and others, who would be interested in applying quantitative analytics in business, including in commercial, governmental and non-governmental organizations. The Big Data analytics market is set to grow with a rise in demand for data analytics jobs. This programme enables students to bridge their business analytics skills gaps and get ready to contribute to this exciting and growing data-based economy.
Course Structure
The programme is intensive with a focus on hands-on learning experience. It is made up of eight taught modules. Modules cover the foundations of business analytics (Principles of Business Analytics, and Predictive Analytics), real-world analytics projects with an organization (Analytics Live), analytics applications and socio-technical implications (Marketing Analytics, Contemporary Issues in IT, and People, Organisations & Society), in addition to Core Experiences modules (Career Planning and Development, and Evidence Based Management).
The programme also offers a preparatory Autumn School to prepare students from different backgrounds to achieve the basic levels of Business, Maths & Statistics, and Programming that you will need to undertake an MSc in Business Analytics. Our approach to learning involves active engagement in problem solving, individually and collectively. Each module is taught in four one day blocks. For each module there is a space of three to four weeks between the next teaching block. This enables learners to undertake their individual and group work and study in preparation for the next class. A full time student would take four modules per semester and thus be in class two full days every second week, with substantial group and individual work in-between, and supported by access to lecturer insights via office hours and online supports as necessary. Part time students take two modules a semester over two years to complete the programme.
Course Duration: 1 year Full-time
Career Options
This programme will equip students with a distinctive capability to understand business analytics in terms of what it can do, but also how it works, so they can adapt their knowledge to various challenges they face in their future careers. The programme offers a dedicated module to career planning and development so students can develop their own career strategy. Career paths include roles such as business analysts, analytics associates, business intelligence engineers, operations analysts, and product analysts, among others.
Academic qualification equivalents
A baccalaureate degree from a recognized degree granting institution
English language requirements (one of the below):
University Type | Public University |
Campus Setting | Urban |
Establishment Year | 1997 |
No. of Campuses | 2 |
No. of Residence Complexes | 3 |
Total Number of Students | 13,700 |
Total Number of International Students | 2,297 |
Research Funding | 1.4 million EUR |
Cost of Attendance | About 17,038 EUR |
Applications Accepted | Online/Offline |
Work-Study | Available |
Intake Type | Semester wise |
Mode of Program | Full time and online |
Expenses | Annual Cost (EUR) |
---|---|
Rent | 3,600-5,400 |
Food | 1080-1620 |
Books and materials | 350 |
Travel | 250-450 |
Miscellaneous | 750-900 |
Tuition Fees in USA (1st Year Average) | BE/Btech: USD 28300 | MS: USD 22693 | BBA: USD 26616 | MBA: USD 29558 | BSc: USD 29418 | MA: USD 20452 | MIS: USD 22133 | MFin: USD 37683 | MEng: USD 29558 | MIM: USD 35301 | MEM: USD 23254 | MArch: USD 34741 | MFA: USD 28857 | BHM: USD 27176 |
Average Accomodation & Food Costs in USA | USD 700 to 1000 Per Month |
Entrance Exams in USA | TOEFL: 86 | IELTS: 6.5 | PTE: 60 | GRE: 309 | GMAT: 560 | SAT: 1177 |
Work and Study in USA | Permitted for 20 hours/week with a valid study permit. Know More |
Post Study Work Permit in USA | One to Two Years after graduation depending on the course. |
Cost of Student Visa in USA | USD 160 |
Student Visa in USA | F1 Visa for USA allows you study permit in USA in full time academic courses. Any accredited school, college, university, academic institute, seminary, or conservatory in USA must accept you beforehand to apply for F1 visa in USA. Know More |
Intakes in USA | There are Three Intakes in USA: Fall (August-September), Spring (January) Know More |
Top Job Sectors in USA | Health Care, Education, Construction, Hospitality & Tourism, Business Services, Finance. |
Economy in USA | GDP Growth of 2.1% (Q4 2019), The Larges Economy of the World by Nominal |