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ITU

Bachelor of Science in
Data Science

About the programme

With a BSc in Data Science, you will become the next generation analyst — a data scientist with comprehensive analytical and technical skills covering all aspects of handling and analysing data. By deriving key insights from data, you will be driving the decision-making of the future. You will learn to work in interdisciplinary teams and not only make sense of vast amounts of data, but also use your organisational knowledge and market understanding to make a difference.

Businesses and other organisations worldwide are accumulating enormous quantities of data for software or market research, disaster prediction, investment analysis, policy development, artificial intelligence, preventive initiatives in health and much more. However, there is a widespread lack of professionals with the know-how to harvest intelligence from this data.

During the three-year programme, you will receive extensive teaching in the technical subjects mathematics and statistics for data sciences, programming, machine learning, algorithms development, and data management, as well as  in social science applications, research methods, data visualisation, communication, and critical reflection.

This will ensure the comprehensive interdisciplinary knowledge you will need as a data scientist. Here are some examples of cases we could be working on:

  • Twitter analysis: election prediction via social media topic modelling
  • Facebook analysis: detecting friends and enemies in social networks over millions of users
  • Language analysis: detecting contradictions in live debates
  • Recommendation systems: personalised automated product recommendation systems for e-commerce
  • Marketing design: automated accurate target group analysis for marketing campaigns over millions of users
  • Marketing analysis: automatic extraction of marketing personas with consumer behavioural and vital data
  • App design: predicting user fall-out as an indicator of poor app design

The Data Science programme is taught in English.

 

Who studies Data Science?

As a student on the Data Science programme you should have strong mathematical skills, as well as an interest in analysing real-world problems in business, science and society.You will be able to apply your curiosity and interest in making new discoveries when you work on the various cases. 

The IT University has a continuous dialogue and collaboration with the relevant industries and provide cases for the students. You will over the time of your bachelor degree develop new technical skills within statistics and computer science. There is a great deal of group work on this programme, so you should be motivated to collaborate with other students.

»

If you’re interested in using math to figure out things about the world that you wouldn’t be able to discover otherwise, and you would like to work with producing this kind of insight, data science is for you.

Rasmus Pagh, professor of algorithms
«

Programme structure

The Data Science is a programme of data science-focussed mathematics and statistics, computer science and applied social science. Through extensive project work, students are trained in applying these skills in realistic settings, including interacting with domain experts and decision makers in industry to formulate relevant goals and to support data-driven decision-making processes. After your first year, you will choose between two tracks:

  • The technical track
  • The business track

While both tracks will allow you to develop sophisticated computational skills, the technical track provides additional skills needed to implement large-scale systems and  the business track puts extra emphasis on how to apply your technical skills in a business context.

See curriculum for BSc in Data Science.

Course of study for Bachelor in Data Science
1st semester Introduction to Data Science and Programming
(15 ECTS)
Applied Statistics
(7,5 ECTS)
Data Science in Research, Business and Society
(7,5 ECTS)
2nd semester First Year Project
(15 ECTS)
Algorithms and Data Structures
(7,5 ECTS)
Linear Algebra and Optimisation
(7,5 ECTS)
3rd semester
Machine Learning
(15 ECTS)
Data Management
(7,5 ECTS)
Network Analysis
(7,5 ECTS)
4th semester
Second Year Project
(15 ECTS)
Data Visualisation and Data-Driven Decision-Making
(7,5 ECTS)
Programming and Software Engineering *
(7,5 ECTS)
Organisation Theory **
(7,5 ECTS)
5th semester
Technical Communication
(7,5 ECTS)
Security and Privacy
(7,5 ECTS)
Large-Scale Data Analysis *            
(7,5 ECTS)
Elective
(7,5 ECTS)
Process Management **            
(7,5 ECTS)
6th semester
Bachelor Project
(15 ECTS)
Reflections on Data Science
(7,5 ECTS)
Elective
(7,5 ECTS)
Programming content
Mathematics content
Applications to real world problems
Social science content

* Technical track
** Business track

Electives and bachelor project
The electives and the bachelor project offer an opportunity to shape your own profile. As electives you can choose between a number of courses offered at the IT University at bachelor’s level, or even take electives at a different Danish or international university. The bachelor project can be done in groups or individually.

The course list offers descriptions of all courses offered at the IT University.

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Activities for students on BSc in Data Science

BootIT

Before you start your study for the Data Science programme you have the opportunity to attend a workshop called BootIT. The workshop is for new students who do not have prior experience with programming. On the Data Science programme it is not required that you have knowledge or experience with programming before you start, and the topics presented at the workshop will be repeated and elaborated on the 1st semester. It is optional whether you want to attend the workshop and you cannot replace a course during the semester by attending this workshop.

The workshop is held prior to the introductory days by a teacher and a couple of current students who study the Software Development programme. Focus of the workshop will be to introduce basic principles and tools within programming. This workshop is for students who would like to spend some extra time getting comfortable with basic topics before the semester starts.

It is free to attend the workshop. If you have a laptop, please bring it. If you do not have one, you can use one of the desktop computers at the IT University.

The introduction days for new students is after this workshop so you do not miss any social activities if you participate in BootIT.

The workshop will be held the 16th-18th August 2017. You will get more information about the program and how to sign up in your letter of admission.

 

Study Lab

Three times a week through the first semester, Study Lab is held. StudyLab is a place where you can get help in becoming even better at topics covered in your courses eg. by discussing academic themes that you are curious about or getting help with difficult material.

StudyLab additionally hosts interesting activities such as review sessions, minor courses on relevant but non-curricular topics, as well as professional lectures with external speakers. StudyLab is run by experienced ITU students. 

Live Coding

Live Coding is a forum for 1st semester students at Date Science. Here you can get hands-on experience with programming through sessions where a teaching assistant will show you how coding can be done by actually writing the code in front of and with you and the other students.

Live Coding takes place once a week from the beginning of the semester.

 

Going abroad

You also have the opportunity to take part of your programme on a university abroad. Especially the 5th semester is well suited for an exchange stay. This is a chance for you to further specialise your education and have the experience of working in a new environment.   

The IT University has exchange agreements around the world. As soon as the exchange agreements for the BSc in Data Science has been settled, you will find the universities here.

Future

Further education

With a bachelor in Data Science, you will hold the academic title of BSc (Bachelor of Science). This qualifies you to continue your studies in a master’s programme at the IT University or a different Danish or foreign university in the areas of science, social science and technology.

Depending on which track you have chosen you are guaranteed access to one or more of the IT University’s  MSc programmes. The Technical track guarantees you access to the MSc programme in Software Development and also qualifies you for entry to the MSc programme in Games. These programmes allow you to specialise further on the technical path. If you have chosen the Business track, you are guaranteed access to the MSc programme in Digital Innovation and Management where you can specialise in business informatics. 

Career

After you have finished your Bachelor degree in Data Science, you may choose to go straight to the job market. The Data Science programme equips you with skills and knowledge that are in high demand across a wide variety of industries and in both private and public sectors.

No matter which track you have chosen, the BSc programme in its entirety qualifies you to work  as a data scientist within a wide array of industries. Tasks could be developing predictive systems and analyses for sales strategies, facial recognition, social media network analyses for marketing and finance, quantitative analyses for streamlining business processes, predicting the impact of internal policies or decisions on production output, and much more.

Job titles could be:

Data Scientist
Machine Learning Engineer
Business Intelligence Analyst
Data Analyst
Digital Analyst 

 

What can you do as a data scientist?

Data science in a consultancy

 What is a data scientist? Hear the founder of the consultancy /KL. 7, Mikkel Holm Sørensen, tell about how they work with data, and what data enables now and will in the future.

How to work with data

What does a data scientist do? Hear the Head of Predictive Analytics at TDC Group, Jonas Munk, tell about how they work with data and what a data scientist do.

How data can improve our health

What role does data play in the public sector? And what does data mean to public health in the future? Listen to the Head of Sundhedsdatastyrelsen (the health data agency), Lisbeth Nielsen, tell you about what data is and how they use it to develop initiatives to increase the public health.

Data science in the financial sector

Hear what Peter Sergio Larsen, chief technology specialist at Nordea, is looking for when he is working with data from the bank.

What does a data scientist do at Psykiatrifonden?

How can an NGO make use of data? And how does data improve their work? Hear for what fundraiser and data scientist, Maria Tersing Kristensen at Psykiatrifonden, uses data.

Teaching

The programme has a considerable element of "hands-on" project work, which allows you to develop your skills in increasingly realistic and complex settings. The teaching will alternate between this kind of project work, lectures and exercises.

The Data Science programme puts great emphasis on collaborations with the industry. You will have the opportunity to do projects that connect to real data and collaboration with external partners. 

 

Enrollment figures

  • Data Science will admit approximately 50 new students in 2017.
  • 80 % will be accepted via qouta 1. 15 % will be accepted via quota 2. 5 % will be accepted via qouta 3.
  • There is not yet an indicative average grade mark for this programme as enrolment in 2017 will be the first. 
     
 

Student Life

Studievejledning

Are you interested in studying at the IT University of Copenhagen, please contact The Study and Career Guidance.

Room 3D05 and 3D07
Rued Langgaards Vej 7
DK-2300 København S

Phone: +45 7218 5240

Email: studievejledningen@itu.dk

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