BSc (Hons) Data Science

Entry requirements for Undergraduate Programs

Academic Qualifications: International students applying for undergraduate programs are required to have a minimum academic qualification of 65% or above in their high school or equivalent qualification.

English Language Proficiency:

• IELTS: A minimum overall score of 6.0, with no individual component score below 5.5.
• TOEFL: A minimum overall score of 80, with a minimum score of 17 in each component.
• PTE: A minimum overall score of 56, with no individual score below 51.

These scholarships provide opportunities for talented students to pursue their studies at Edinburgh Napier University.

Global Scholarships:Edinburgh Napier University offers Global Scholarships for international students enrolling in full-time undergraduate or postgraduate programs.The Global Undergraduate Scholarship provides a deduction of £3,000 from the tuition fees for the first year of study.The Global Postgraduate Scholarship provides a deduction of £3,000 from the tuition fees for the first year of study.These scholarships are competitive and awarded based on academic merit, so students with excellent academic achievements have a higher chance of being awarded the scholarship.

Country-Specific Scholarships:Edinburgh Napier University also offers scholarships specific to certain countries or regions.These scholarships are designed to attract students from specific countries or regions and may provide financial support towards tuition fees or living expenses.The eligibility criteria and application process may vary for each country-specific scholarship, so interested students should visit the university's official website for detailed information.

Alumni Scholarships:Edinburgh Napier University offers scholarships exclusively for its alumni who wish to pursue further studies at the university.These scholarships are aimed at recognizing and supporting the university's graduates and providing them with opportunities to advance their education.The specific eligibility criteria and benefits of the alumni scholarships may vary, so interested students are encouraged to contact the university's alumni office or visit the official website for more information.

External Scholarships:Edinburgh Napier University provides information and guidance on external scholarships that international students may be eligible to apply for.These scholarships are offered by external organizations, governments, or foundations and are open to students from various countries or specific fields of study.The university's website and scholarship databases provide comprehensive information on external scholarships, including eligibility criteria, application deadlines, and application procedures.

It is important to note that scholarship availability, eligibility criteria, and application deadlines may vary from year to year.

Edinburgh Napier University's BSc (Hons) Data Science program equips graduates with highly sought-after skills in data analysis, machine learning, and data visualization, preparing them for diverse career opportunities across various industries.  

1. Data Analyst: Graduates can pursue roles as data analysts, where they analyze large datasets to extract valuable insights and trends. They work closely with stakeholders to understand business requirements and develop data-driven solutions to inform decision-making processes.

2. Data Scientist: Data scientists use advanced statistical techniques and machine learning algorithms to analyze complex datasets and develop predictive models. They work on projects such as customer segmentation, fraud detection, and recommendation systems to drive business growth and innovation.

3. Machine Learning Engineer: With expertise in machine learning algorithms and programming languages like Python and R, graduates can work as machine learning engineers. They develop and deploy machine learning models for tasks such as image recognition, natural language processing, and predictive analytics.

4. Business Intelligence Analyst: Graduates can pursue careers as business intelligence analysts, where they gather and analyze data to provide actionable insights to businesses. They design and develop dashboards and reports to visualize key performance indicators and help organizations make data-driven decisions.

5. Big Data Engineer: In the era of big data, there is a growing demand for professionals who can manage and process large volumes of data efficiently. Graduates can work as big data engineers, designing and implementing scalable data pipelines and infrastructure using technologies like Hadoop, Spark, and NoSQL databases.

6. Data Visualization Specialist: Data visualization specialists create visually appealing and informative charts, graphs, and interactive dashboards to communicate insights effectively. They use tools like Tableau, Power BI, and D3.js to transform complex data into compelling visual stories for decision-makers.

7. AI Ethics Consultant: With an understanding of ethical and legal considerations in data science, graduates can work as AI ethics consultants, advising organizations on responsible AI practices. They ensure that AI systems adhere to ethical guidelines and regulations, addressing concerns related to bias, fairness, and transparency.

8. Research Scientist: Graduates interested in academia or research can pursue roles as research scientists, conducting studies and experiments to advance the field of data science. They work on projects ranging from developing new algorithms to exploring emerging technologies and methodologies.