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University of Stavanger

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Stavanger

Norway

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.

intake

Duration

24 Months

Ranking

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#401

The World University Rankings

Class Profile

Diversity

Others:

10%

Asia:

3%

Africa:

1%

Norway:

85%

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    62

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  • TOEFL

    90

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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
      FallDec 1, 2023

      Fees and Funding

      intake

      Tuition Fees

      $1,50,000 / year

      FAQs

      • To qualify for the MSc in Data Science program at the University of Stavanger, applicants are expected to hold a relevant bachelor’s degree. Additionally, candidates must demonstrate proficiency in English through standardized tests. The specific requirements are as follows:

        • IELTS: Minimum score of 6.5
        • PTE: Minimum score of 62
        • TOEFL: Total score of 90

        It is important for prospective students to apply by the December 1st, 2023 deadline, ensuring that all required documents, including academic transcripts and proof of English proficiency, are submitted.

      • The MSc in Data Science program is structured to be completed over a duration of 24 months. The curriculum includes:

        1. Core Courses: These foundational courses cover essential topics such as Data Mining, Statistical Learning, and Big Data Technologies, providing students with a solid understanding of data principles.
        2. Elective Courses: Students have the flexibility to choose elective courses that align with their personal career aspirations.
        3. Hands-On Project Work: Emphasis is placed on real-world applications, allowing students to work on industry-relevant projects that enhance their practical experience.

        This balanced approach combines rigorous academic coursework with practical applications, ensuring students are well-prepared for their future careers.

      • 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
        • Consulting

        With a comprehensive skill set acquired throughout the program, graduates can take on roles such as:

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

        The program boasts a high graduate employability rate, reflecting the strong demand for professionals skilled in data science, making it an excellent choice for those seeking data-driven careers.

      • The teaching methods employed in the MSc in Data Science program focus on fostering an engaging and effective learning environment. Some key approaches include:

        • Project-Based Learning: Students engage in hands-on projects that simulate real-world data science challenges.
        • Collaborative Group Work: Encourages teamwork and collaborative problem-solving, allowing students to learn from each other.
        • Critical Thinking Development: Students are encouraged to think critically and develop unique approaches to data science problems.

        This innovative methodology combines theoretical foundations with practical applications to enhance learning outcomes.

      • The MSc in Data Science program at the University of Stavanger stands out due to several unique features:

        • Expert Faculty: The program is taught by professors and instructors who are accomplished academics and seasoned professionals in the industry.
        • Research Opportunities: Students are encouraged to participate in ongoing research initiatives, collaborating with faculty on groundbreaking projects.
        • Industry Connections: The university maintains strong partnerships with leading companies, providing students with access to internships and job placements.
        • State-of-the-Art Facilities: The university offers advanced laboratories and research facilities equipped with the latest technologies.

        These features create a rich learning environment and enhance the overall student experience.

      • The University of Stavanger is committed to providing students with ample research opportunities through:

        • Ongoing Research Initiatives: Students are encouraged to collaborate with faculty members on innovative research projects.
        • State-of-the-Art Laboratories: The university is equipped with advanced technologies that facilitate innovative research and experimentation.
        • Hands-On Experience: Students can apply their theoretical learning in real-world scenarios, contributing to significant research outcomes.

        This focus on research not only enhances students' academic experience but also prepares them for future careers in data science.

      • The MSc in Data Science program offers several benefits through its strong industry connections:

        • Exclusive Access to Internships: Students can gain practical experience through internships with leading companies.
        • Job Placement Opportunities: The program enhances employability by connecting students with potential employers.
        • Networking Opportunities: Students have the chance to network with industry professionals, which can lead to valuable job offers.

        These connections enrich the learning experience and significantly improve the chances of securing employment after graduation.

      • The success of alumni from the MSc in Data Science program is a strong indicator of the program's quality and effectiveness. Key points include:

        • Career Achievements: Graduates have secured positions at prestigious organizations worldwide, showcasing the program's ability to prepare students for competitive job markets.
        • Transformative Experience: Alumni testimonials highlight the program’s impactful education and the skills gained that are crucial for career success.
        • Community Support: Many alumni return to share their experiences and insights with current students, fostering a supportive community.

        This network of successful alumni contributes positively to the reputation of the program and provides motivation for current students.

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