MSc Data Science and Big Data Analytics

Postgraduate Entry Requirements:

1. Academic Requirements:

   • Completion of a bachelor's degree or its equivalent from a recognized institution with a minimum overall score ranging from 55% to 70% or equivalent.
      

2. English Language Proficiency:

   • IELTS: Minimum overall score of 6.0 with no individual component below 6.0.
   • TOEFL: Minimum overall score of 79 (IBT) with individual section scores as follows - Speaking 20, Listening 17, Reading 18, Writing 21.
   • PTE Academic: Minimum overall score of 54 with no less than 51 in each component.

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

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.

Wrexham Glyndwr University is dedicated to fostering a diverse and inclusive learning environment, attracting talented students from around the globe. To support international students in pursuing their higher education goals, the university offers various scholarships tailored to recognize academic excellence and provide financial assistance.  

1. International Academic Achievement Scholarship: This merit-based scholarship is designed to reward outstanding academic performance. Eligibility criteria typically include academic achievements, and applicants are assessed based on their academic records and qualifications. The scholarship aims to contribute towards tuition fees, and the amount awarded may vary.

2. Country-Specific Scholarships: Wrexham Glyndwr University recognizes the diversity of its international student body and, in some cases, offers country-specific scholarships. These scholarships may take into consideration factors such as academic achievements, cultural contributions, and the student's country of origin.

3. Vice-Chancellor's Scholarship: The Vice-Chancellor's Scholarship is a prestigious award that celebrates academic excellence, leadership qualities, and community engagement. International students with an exceptional academic track record and a commitment to making a positive impact are encouraged to apply for this competitive scholarship.

4. Commonwealth Shared Scholarship Scheme: In collaboration with the UK government, Wrexham Glyndwr University participates in the Commonwealth Shared Scholarship Scheme. This initiative aims to support students from Commonwealth countries in pursuing postgraduate studies in the United Kingdom. The scholarship covers full tuition fees, living allowance, and other essential costs.

5. External Scholarship Opportunities: International students are also encouraged to explore external scholarship opportunities provided by government agencies, foundations, and organizations in their home countries. Wrexham Glyndwr University's international office and scholarship support services can assist students in identifying and applying for these external funding sources.

6. Sports Scholarships: For international students who excel in sports, Wrexham Glyndwr University offers sports scholarships to support their academic and athletic pursuits. These scholarships recognize achievements in various sports and aim to create a balance between academic and sporting commitments.

Wrexham University's MSc Data Science and Big Data Analytics program not only equips graduates with a cutting-edge technical skillset but also prepares them for diverse and promising career paths. Armed with proficiency in statistical analysis, machine learning, and programming languages, graduates can seamlessly transition into roles such as Data Scientist, Machine Learning Engineer, or Business Intelligence Analyst. The program's unique integration of business acumen ensures that graduates can bridge the gap between data insights and strategic decision-making within organizations. Networking opportunities, practical projects, and capstones further enrich the learning experience, providing students with the industry connections and real-world experience that are crucial for a successful career in the dynamic field of data science.

1. Industry-Relevant Skillset: Graduates from Wrexham University's MSc Data Science and Big Data Analytics program emerge with a robust skillset encompassing statistical analysis, machine learning, data mining, and programming. Equipped with proficiency in tools like Python, R, and Hadoop, they are well-prepared to navigate the evolving demands of the data-driven industry.

2. Versatile Career Paths: The program opens doors to a plethora of career paths within the data science domain. Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, or Data Engineer. The versatility of the program ensures that individuals can align their career trajectory with their specific interests and strengths.

3. Integration of Business Acumen: Wrexham University's program stands out by not only focusing on technical skills but also integrating business acumen into the curriculum. Graduates are adept at translating complex data insights into actionable business strategies, making them valuable assets for organizations seeking data-driven decision-making capabilities.

4. Networking Opportunities: Throughout the program, students have the opportunity to engage with industry professionals through guest lectures, workshops, and networking events. These connections prove instrumental in securing internships, gaining insights into industry trends, and ultimately opening doors to employment opportunities upon graduation.

5. Practical Projects and Capstones: The MSc Data Science and Big Data Analytics program at Wrexham University places a strong emphasis on practical application. Students engage in real-world projects and capstones, allowing them to showcase their skills and build a portfolio that reflects their ability to solve complex data challenges. This practical experience is highly valued by employers seeking candidates with hands-on expertise.