
University of Stavanger

Stavanger
,Norway

Program Name
MSc in Data Science

Deadline
December 01st, 2023
Overview

The MSc in Data Science program at the University of Stavanger is meticulously designed to equip students with the essential skills and knowledge necessary to thrive in the rapidly evolving field of data science. This comprehensive program covers various domains within data science, including data analytics, machine learning, and business intelligence, ensuring that graduates are well-prepared to address the complex challenges faced by organizations today. The curriculum is crafted to provide a balanced mixture of theoretical foundations and practical applications, fostering a deep understanding of the data-driven world we live in.
The program spans a duration of 24 months, offering an immersive learning experience that combines rigorous academic coursework with hands-on project work. Core courses such as Data Mining, Statistical Learning, and Big Data Technologies lay the groundwork for a solid understanding of data principles, while elective courses allow students to tailor their studies to their career aspirations. The curriculum also emphasizes real-world applications, preparing students to work on industry-relevant projects that provide invaluable experience.
One of the standout features of this program is the expertise of the faculty. The professors and instructors are not only accomplished academics but also seasoned professionals with extensive experience in the industry. They employ innovative teaching methodologies, including project-based learning and collaborative group work, to foster an engaging learning environment. Students are encouraged to think critically, solve complex problems, and develop their own unique approaches to data science challenges.
The University of Stavanger is also committed to providing students with ample research opportunities and resources. Students are encouraged to participate in ongoing research initiatives, collaborating with faculty members on groundbreaking projects that contribute to the field's advancement. The university's state-of-the-art laboratories and research facilities are equipped with the latest technologies, facilitating innovative research and experimentation. This hands-on experience is invaluable, as it allows students to apply their learning in real-world scenarios and contribute to actual research outcomes.
In addition to rigorous academics and research opportunities, the program has established strong industry connections that enhance the student experience. The university maintains partnerships with leading companies and organizations, providing students with exclusive access to internships and job placements. These connections not only enrich the learning experience but also significantly improve employability upon graduation. Students can gain practical experience, network with industry professionals, and secure valuable internships that often lead to full-time job offers after graduation.
Graduates of the MSc in Data Science program are well-equipped to pursue a variety of career pathways across multiple sectors, including finance, healthcare, technology, and consulting. The comprehensive skill set acquired throughout the program enables students to take on roles such as data analyst, data scientist, business intelligence analyst, and machine learning engineer. The high graduate employability rate reflects the demand for professionals skilled in data science, making this program an excellent choice for aspiring data-driven careers.
Moreover, the success of the program is evidenced by its alumni. Graduates have gone on to achieve remarkable milestones in their respective fields, often securing positions at prestigious organizations worldwide. Alumni testimonials highlight the transformative impact of the program, emphasizing how the University of Stavanger provided them with the tools, knowledge, and network necessary to succeed in the competitive job market. Many alumni frequently return to share their experiences and insights with current students, fostering a strong sense of community and support.
Overall, the MSc in Data Science at the University of Stavanger stands out as a premier choice for students seeking a deep and enriching educational experience in data science. The program's strong curriculum, expert faculty, research opportunities, industry connections, and successful alumni collectively contribute to an environment where students can thrive and achieve their academic and professional goals.
Why Study MSc in Data Science at University of Stavanger
- A globally recognized program offering in-depth knowledge of data science and analytics.
- Access to highly qualified faculty with practical industry experience and academic expertise.
- Strong emphasis on hands-on learning through projects, research, and internships.
- Diverse and inclusive community, providing a rich cultural experience for international students.
- Excellent job prospects due to strong ties with industry and high employability rates among graduates.
- State-of-the-art facilities and resources that support innovative research and learning.
To qualify for this prestigious program, applicants are expected to hold a relevant bachelor’s degree and demonstrate proficiency in English through standardized tests such as IELTS, PTE, or TOEFL. For IELTS, a minimum score of 6.5 is required, while PTE applicants must achieve at least 62. For TOEFL, a total score of 90 is necessary. Prospective students should apply by the December 1st, 2023 deadline, ensuring that all required documents are submitted, including academic transcripts and proof of English proficiency.
In conclusion, the MSc in Data Science at the University of Stavanger is not just an academic program; it is a transformative journey into the world of data science, preparing students for success in their future careers.

Duration
24 Months
Ranking
#401
The World University Rankings
Class Profile
Diversity
Others:
10%Asia:
3%Africa:
1%Norway:
85%Eligibility Criteria
English Proficiency Tests
IELTS
6.5
PTE
62
TOEFL
90
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Application Deadlines
Final Deadline | |
---|---|
Fall | Dec 1, 2023 |
Fees and Funding

Tuition Fees
$1,50,000 / year
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