MSc Professional Software Development (Data Science)

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.

• IELTS: The minimum required overall score is usually between 6.5 and 7.0, with a minimum score of 5.5 in each component.
• PTE Academic: The minimum required overall score is typically between 62 and 67.
• TOEFL: The minimum required scores are usually between 90 and 95 for the internet-based test (iBT) and 577-600 for the paper-based test (PBT).

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.

These scholarships are designed to recognize academic excellence, promote diversity, and support students in achieving their educational goals. 

1. International Postgraduate Scholarship: International students applying for full-time postgraduate taught programs at Ulster University are eligible for this scholarship. It offers a tuition fee discount of up to £2,000 per year for the duration of the program. The scholarship is awarded based on academic excellence and applicants are automatically considered during the application process.
2. India Academic Scholarship: This scholarship is specifically available to Indian students applying for full-time undergraduate or postgraduate programs at Ulster University. It provides a tuition fee discount of £2,000 for the first year of study. Applicants must meet the academic requirements and be Indian passport holders to be eligible for this scholarship.
3. GREAT Scholarships: Ulster University participates in the GREAT Scholarships program, which is a joint initiative of the British Council and the UK government's GREAT Britain Campaign. These scholarships are available to students from China, India, Malaysia, Thailand, and the United States. The scholarship amount and eligibility criteria vary by country, and applicants need to apply through the respective country's British Council website.
4. External Scholarships: In addition to the scholarships offered directly by Ulster University, international students can also explore external scholarship opportunities. These scholarships may be provided by governments, organizations, or foundations in the student's home country or internationally. Students are encouraged to research and apply for relevant external scholarships that can help support their studies at Ulster University.

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 Professional Software Development (Data Science) program at Ulster University are well-equipped to pursue a variety of rewarding careers in technology and data science. 

1. Data Scientist: Graduates can work as data scientists, utilizing their skills to analyze large datasets, extract valuable insights, and make data-driven decisions.

2. Machine Learning Engineer: With a strong foundation in machine learning, graduates can specialize in developing algorithms and models for predictive analytics.

3. Software Developer: Graduates can pursue careers as software developers, with the added advantage of data science skills, making them invaluable in developing data-centric applications.

4. Data Engineer: Graduates may choose to become data engineers, responsible for building and maintaining data pipelines and infrastructure.

5. Business Analyst: With a deep understanding of data, graduates can work as business analysts, helping organizations make informed decisions and optimize their operations.