Degree
MSc Data Science
Duration
3 Years
Credits
180 ECTS
Study Start
Each September, January, June
Overview
In this age of digitalisation, Data Science is playing an increasingly important role in the media landscape and social discourse. Exciting use cases, technological innovations, or controversial discussions: it’s not always easy to keep track. Data Scientists are in great demand. In many organisations, data literacy and therefore the number of “Citizen Data Scientists” – people who create models based on advanced diagnostic analytics, although their actual jobs are outside this area of competence – is increasing. Experts are therefore indispensable when it comes to developing and testing hypotheses.
Our Master in Data Science focuses primarily on current developments in software and infrastructure engineering, as well as on Big Data technology. You’ll learn to fully develop your problem-solving skills and take a methodical, focused, and logical approach to data science problems.
The IU programmes delivered to Global Pathways College students provide key theoretical knowledge and focus, above all, on practice-oriented studies designed to best prepare you for your future career. Our wide range of subject specialisations gives you maximum choice and allows you to immerse yourself in areas that match your interests..
Entry Requirements
Academic and Work experience criteria:
- Completed degree from a public or officially recognised university/higher education institution.
- For 60-ECTS programmes, you will need to have already acquired 240 ECTS credits.
- For 120-ECTS programmes, you will need to have 180 ECTS credits.
- You will need at least one year of professional work experience before starting your studies (achieved after previous studies).
If you do not have the required amount of credits, you may be able to take a TASC exam (see Further Options for Admission) or enrol in another way. Please talk to our student recruitment team for help.
To study the 120 ECTS version of this degree, you will need to have taken courses “Statistics – Probability and Descriptive Statistics” and “Introduction to Computer Science” or demonstrate equivalent knowledge such as through work experience. You can take these courses online with us for free.
To study the 60 ECTS version of this degree, you will need to have taken courses “Programming with Python”, “Advanced Mathematics”, “Statistics – Probability and Descriptive Statistics” and “Introduction to Computer Science” or demonstrate equivalent knowledge such as through work experience. You can take these courses online with us for free.
Study Content
In your Master’s degree in Data Science, you’ll primarily study current developments in software and infrastructure engineering, as well as Big Data technology. As you work through each of these individual topics, the key focus will be on practical problem-solving skills. The aim of this course is to prepare you to work as a specialist developing challenging data science applications and systems in both the private and public sectors
Students can choose between a 2 semester, 60 ECTS General degree or a 4 semester, 120 ECTS degree with specialisations
Our Master’s degree programme has a modular structure which means that you’ll study specific topics that are divided into modules. Once you’ve successfully completed a module, you will receive ECTS (European Credit Transfer System) points which are internationally recognized.Most modules are worth 5 ECTS points .The following are the modules covered each semester for a specialist 120 credit degree.
| MODULES | ECTS |
Data Science | 5 ECTS |
Advanced Mathematics | 5 ECTS |
Seminar: Data Science and Society | 5 ECTS |
Advanced Statistics | 5 ECTS |
Use Case and Evaluation | 5 ECTS |
Project: Data Science Use Case | 5 ECTS |
| Product Development | 5 ECTS |
| MODULES | ECTS |
Programming with Python | 5 ECTS |
Machine Learning | 5 ECTS |
Deep Learning | 5 ECTS |
Big Data Technologies | 5 ECTS |
Electives A | 10 ECTS |
Data Utilisation | 5 ECTS |
| MODULES | ECTS |
Cyber Security and Data Protection | 5 ECTS |
Case Study: Model Engineering | 5 ECTS |
Software Engineering for Data Intensive | 5 ECTS |
Electives B | 10 ECTS |
Seminar: Current Topics in Data Science | 5 ECTS |
| MODULES | ECTS |
Master Thesis & Colloquium | 30 ECTS |
ELECTIVES
You can choose between four programmes in Data Science. The 120-credit option has various specialisations you can select according to your interest (listed in the electives below).
If you want to take a shorter 60-credit degree, we have created three variants specialising in different areas: Big Data & Software Engineering, Smart Manufacturing Methods & Industrial Automation, or Applied Autonomous Driving. You will learn core knowledge in your first semester and your second semester is then tailored to your chosen topic (see Semester 2 in the 60 ECTS curriculum). In this way, you can specialise in an area that will lead you to your ideal role in Data Science.
BUSINESS ANALYST
DATA ENGINEER
TECHNICAL PROJECT LEAD
MANAGEMENT
DATA SCIENCE SPECIALIST
SALES, PRICING AND BRAND MANAGEMENT
CONSUMER BEHAVIOUR AND RESEARCH
CORPORATE FINANCE
INNOVATE AND CHANGE
COGNITIVE COMPUTING
APPLIED AUTONOMOUS DRIVING
SELF LEARNING SYSTEMS
INDUSTRIAL AUTOMATION AND INTERNET OF THINGS
Careers
Our international Master programme in Data Science is the ideal foundation to gain a head start into a successful career analysing, optimising, or innovating businesses anywhere in the world. Graduates from our courses go to become technical gurus, team-leaders of successful data-science teams or value-driven masterminds who turn data into action.
SENIOR DATA SCIENTIST
As a Senior Data Scientist, you are typically responsible for all aspects of transforming data into value, from designing the technical infrastructure to building advanced machine and deep learning models, as well as improving data quality and evaluating the performance of the predictions. Senior Data Scientists often act as mentors to more junior team members.
DATA SCIENCE DEVELOPER
As a Data Science Developer, you are typically responsible for designing, building and maintaining the data science infrastructure and cloud services. You develop and deploy machine and deep learning models and make sure that all relevant data are accessible. In many cases, you are also responsible to assess and improve the quality of the data used in the project.
DATA SCIENCE CONSULTANT
As a data science consultant, you help companies and teams to achieve their goals in becoming a predictive enterprise. You are typically responsible to identify potential use-cases, perform the initial project planning and define the relevant measures and metrics to define success.
Dual degree with London South Bank University
With the IU and LSBU (London South Bank University) dual degree track, you get a unique opportunity – you can choose if you want to graduate with both a German and a British graduation certificate, without any extra academic requirements. The study programmes at IU and at LSBU are coordinated and therefore equivalent to each other.
Start your studies at IU, and if you want to apply for your British certificate* all you have to do is send in your application and pay the registration fee. You’ll then be awarded a degree from LSBU following your graduation if all of your study requirements have been fulfilled successfully.
About LSBU
London South Bank University is well-known for its impressive internationality, as testified by over 18,000 students from more than 130 countries. Similar to IU, LSBU has also been awarded multiple awards and praised for its focus on improving graduates’ career opportunities.
Our cooperation was born out of one goal: to help you get the best jobs in the world with a dual degree
Mode of study
At Global Pathways College,students can complete the program in either Online or Blended delivery formats.
Apply Now
We’re here to help and answer any question you might have. We look forward to hearing from you
We’re here to help and answer any question you might have. We look forward to hearing from you
