MS in Business Analytics Application FAQ

What kind of courses will we have?

Coding - focusing on the R language with an option of learning Python

Data Analysis / Statistics - finding patterns in the data and interpreting results

Data Science tools - from unstructured text and messy data to visualization and machine learning

Data Engineering - from an overview of data science software and tools, to cloud architecture and production

User cases - offering a variety of use case examples by industry pros 

Business - from agile project management to strategy and data protection/GDPR

Will I get a chance to work on an industry related project?

Yes. After the coursework, students are paired with companies - small and large - and work on a capstone project that is interesting for companies. It is an integral and important part of the program.

It’s been a while I studied math. How can I catch up?

We will offer a compulsory presession program in the first two weeks of September. It will cover what you will need in calculus, linear algebra, or probability theory.  

I have used software like excel, but have never coded. Is this program for me?

If you are good with numbers, have good math skills, then yes. We will offer a compulsory presession program in the first two weeks of September. It will cover introduction to informatics, showing what coding means. In the program, we’ll start coding from scratch.

When are classes held?

Core courses and data science electives are held on Monday and Wednesday afternoons 1.30 pm -7.30 pm throughout the program.

Business and management electives are on Friday afternoons and weekends. Other electives offered by the Department or our partner, the Center for Network Science could be any other weekday timeslot.

Can I do the program doing only Monday and Wednesday classes?

Yes, you can. We offer at least 28 credits of courses in the Monday-Wednesday slot.

I am working at the moment and considering my options. What is the workload of the program?

The full time program implies about 30 hours per week of workload from September to April. This includes classes as well assignments, term projects. Working on the capstone project in May-July means somewhat less workload. This is of course an average. If you have strong background in coding or engineering, the workload could be less.

I have a full time job, can I still apply?

Yes, we have a part time version. It means the same classes, same time slots, but spread over two years. You can take all the Monday courses in the first year, with some classes on Wednesday evenings; and take the remaining Wednesday classes in the second year. Consider a workload of about 15 hours per week over two years.

What is the application deadline?

15 August 2018, including submitting the math test result.

If you need a visa, it is 1st of June 2018.

I need a visa. What is the application deadline?

1st of June, 2018.

What software will be used during the tuition period? Will the University provide these?

The focus will be on the R language that is widely used in data science. It is a free program (more HERE). Another program is Python, also free to use. Students will use Tableau, a 6-month student license will be provided.