MSc Advanced Accounting
The Master of Science (MSc) in Advanced Accounting at Ulster University is a prestigiou...
Derry - Londonderry Campus
INTAKE: Jan & Sept
The MSc Data Science program at Ulster University is a dynamic and industry-relevant program designed to equip students with the knowledge and skills needed to thrive in the rapidly evolving field of data science.
1. Comprehensive Curriculum: The program offers a comprehensive curriculum that covers essential topics in data science, including data analysis, machine learning, data visualization, and big data technologies.
2. Practical Skills: Students gain hands-on experience in data analysis and machine learning techniques using industry-standard tools and platforms. They develop the ability to extract valuable insights from complex datasets.
3. Interdisciplinary Approach: Recognizing the interdisciplinary nature of data science, the program integrates concepts from computer science, statistics, mathematics, and domain-specific areas to provide a holistic understanding.
4. Industry-Relevant Projects: Students work on real-world projects and case studies, allowing them to apply their knowledge and skills to practical problems faced by businesses and organizations.
5. Expert Faculty: The program is delivered by experienced faculty members who are experts in the field of data science. They provide guidance and mentorship to help students excel.
6. Research Opportunities: Ulster University encourages research and critical thinking, enabling students to engage in cutting-edge research projects in data science.
7. State-of-the-Art Facilities: The university offers access to state-of-the-art computing and data science laboratories, providing students with the tools they need for their studies and research.
8. Collaboration with Industry: Ulster University has strong ties with industry partners, offering students opportunities for internships, placements, and collaborations with leading companies.
9. Data Ethics and Governance: The program emphasizes the importance of data ethics and governance, preparing students to handle data responsibly and ethically.
10. Career Preparation: Graduates are well-prepared for diverse roles in the data science field, including data analyst, machine learning engineer, data scientist, and more.
Derry - Londonderry Campus
IELTS 6.5
£ 17730
Postgraduate Entry Requirements:
Academic Qualifications: Applicants should hold a relevant bachelor's degree or equivalent qualification from a recognized institution. The minimum academic requirement is often a bachelor's degree with a final grade equivalent to a UK 2:2 or higher (50% or above).
English Language Proficiency: English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
These scholarships are designed to recognize academic excellence, promote diversity, and support students in achieving their educational goals.
It is important to note that scholarship availability, eligibility criteria, and application deadlines may vary each year. Applying for scholarships at Ulster University is highly competitive, and it is important for students to carefully review the scholarship requirements and submit a strong application. It is advisable to start the scholarship application process well in advance to ensure sufficient time for gathering required documents and meeting application deadlines.
Graduates of the MSc Data Science program at Ulster University are in high demand in various industries and sectors.
1. Data Scientist: Graduates can pursue roles as data scientists, where they analyze complex data sets to extract valuable insights and drive data-driven decision-making.
2. Machine Learning Engineer: With expertise in machine learning, graduates can work on developing and deploying machine learning models for predictive analytics and automation.
3. Data Analyst: Data analysts focus on data visualization and statistical analysis to help organizations make informed decisions.
4. Business Intelligence Analyst: These professionals use data to provide business insights and support strategic planning.
5. Data Engineer: Data engineers are responsible for collecting, storing, and processing data for analysis.
6. Data Consultant: Graduates can offer their expertise as data consultants, helping organizations optimize their data strategies.
7. Researcher: For those interested in academia or research, pursuing a career in data science research is also an option.
8. Big Data Specialist: With the growth of big data, specialists in this area are in demand to manage and analyze large and complex datasets.
9. Data Privacy Officer: Given the importance of data ethics, some graduates may work in roles focused on data privacy and governance.
10. Data-Driven Entrepreneurship: Graduates with an entrepreneurial spirit can start their own data-driven businesses or startups.