IT education that focuses on skills and techniques for extracting actionable knowledge from data. Become a data scientist, the sexiest profession of the 21st century, according to Harvard Business Review.
We are living in the data age where data are generated from everywhere - posts to social media sites, online sales transactions, sensors, GPS enabled devices, health care and the Internet of Things. Data is a very useful resource of the 21st century, and is to the digital economy what oil is to the industrial economy. The enormous need for – and lack of expertise – means that data scientists are often very well paid.
The success of many tech companies such as Netflix, Spotify, Facebook, Google, and Amazon is driven by their ability to extract insight from data and to create data applications. Thus, the rise in these data applications and the availability of numerous, diverse specialized data sets means that computing professionals with a degree in Applied Data Science will be needed to work across all subject domains, including science, industry, and government, to extract value and insight from data.
We have skilled teachers who are committed to conveying their knowledge. Dior Anvarov, student
The probability of being unemployed after finishing is very small. Babette Weldehanna, student
This bachelor program teaches you scientific methods for working with data in a practical and relevant way. Throughout the bachelor program students will learn the theoretical foundations required for working in this domain as well as the practical application of tools and techniques used in the field of data science. This includes data management, analytics and visualisation, software development and deployment, mathematical and statistical analysis, and artificial intelligence and machine learning.
The first year of the program has been designed to develop a breadth of foundation skills required by data scientists. During this year of study students will develop programming, mathematical, networking and data management skills alongside research and project management. The first year serves as a common foundation with Digital Forensics and Cyber Security. Students across all three programs collaborate on a year-long project, which helps cement and enrich the material covered.
The second year of the degree is more in-depth and specialized. Students will further develop their programming and software development skills by learning data structure and algorithms, object-oriented programming and professional software development. They will also explore statistical tools and techniques for data analysis and explore NoSQL data storage technologies.
In their final year students will gain practical experience in big data analytics and data visualisation, and develop applications using machine learning principles. This year also includes the opportunity to develop domain-specific practical expertise, exploring the data requirements of the industry sectors of Oil and Gas, Engineering and Information Technology, or society-related sectors of Government and Healthcare. Alongside these courses, students will also undertake a final project through the exploration of relevant data and applications.
After completing the degree, graduates will have the theoretical and practical competence required to work across a variety of industries within numerous types of organisations. Graduates will also be qualified to continue developing their expertise through further study.
Knowledge:
Skills:
General Competence:
As an online student you are required to purchase the required equipment and software. As a Campus student the required equipment and software is available for use.
You must have full administrative privileges to install and manipulate all aspects of your computer. The minimum requirements apply to all who purchase/use their own machine. This may not be an Apple Mac, as these systems are not compatible with the required software.
As a student you will be provided student licences, until then you should explore the software.
Many students find that the use of Windows is a good starting point to allow them to develop the skills to configure alternative operating systems. Several tutorials will require access to a Windows operating system (either as a host or as a virtual machine).
The expertise and skills from the Data Science bachelor program are sought after as many trend indicators suggest data applications will be of ever-increasing significance to many industries. The emerging initiatives related to new technologies used in Smart Cities, Internet of Things and Cyber-Physical Systems will continue to generate a vast amount of data requiring data science specialists.
There are many career opportunities for a graduate with a degree in Data Science. For example, a graduate can be employed as a Data Scientist, Data Engineer or Machine Learning Engineer. A Data Scientist is someone who looks at a company or industry data and use it to answer business questions, make future predictions, then communicate those answers and predictions to other teams in the company to be acted upon. A Data Engineer, on the other hand, manages a company’s data infrastructure. This role requires a lot less statistical analysis and a lot more software development and programming skills.
Most large companies that rely on information technology also need people with expertise in data science. This bachelor's degree provides a unique qualification for dealing with challenges in a variety of organizations and the industrial sector.
Students who wish for further training in Data Science can apply for Masters level studies related to computing, data analytics or data science at a variety of higher education institutions.
We recommend watching the latest livestream on our IT bachelor programs hosted by Emlyn Butterfield and recorded 10 March 2023. You can also skip directly to the chapter regarding Applied Data Science in the chapter menu, which starts at 03:17.
| Next startup: |
August 14, 2023. |
| Locations: | Kristiansand, Online and Online PLUS Oslo |
| Duration: | 3 years |
| Program language: |
English |
| Price Online: |
EUR 4.900,- per semester |
| Price Online PLUS Oslo: |
EUR 5.700,- per semester |
| Price Campus Kristiansand: |
EUR 6.100,- per semester. |
| Admission requirements: | Three-year upper secondary education. You may also apply for admission by prior learning. In addition there is a special requirement of Math R1, or S1 and S2, or international equivalent. Other documented knowledge or education can be accepted as equivalent. Read more. |
| Approvals: | Approved for loans and grants from the State Educational Loan Fund. Accredited by NOKUT. |
| Degree: | Bachelor |
| Credits: | 180 ECTS |
The bachelor student is looking forward to enhancing his skills in data analysis and visualization through the summer at HMH.
The IT bachelor's degrees at Noroff provide highly sought-after expertise. Here, you will get a closer insight into the study programs.
During the 28-30th June, Noroff will be hosting «MIKE 2023» an international academic conference on artificial intelligence and machine learning.
