Master's
MSc Data Analytics – DIT
Course Overview
The MSc Data Analytics equips students with advanced analytical and computational skills to transform large datasets into meaningful business and scientific insights. Students study statistics, machine learning, predictive analytics, database technologies, programming, business intelligence, and data visualization through practical projects and research activities.
The programme emphasizes evidence-based decision-making and analytical problem-solving using contemporary software tools. Students gain experience working with real-world datasets to support organizational strategy and innovation. Graduates are prepared for careers in data analytics, business intelligence, financial analysis, healthcare analytics, and technology consulting.
Entry Requirements
- Certified copy of a recognized Level 8 bachelor’s degree in Computing, Mathematics, Statistics, Engineering, or quantitative discipline (minimum 55% or 3.0 GPA).
- IELTS 6.5 (with no band less than 6.0), TOEFL iBT 88, PTE 58, or Duolingo 115.
- Quantitative competency review in statistics, linear algebra, and basic programming (Python/R or SQL).
- Detailed CV/resume, university marksheets, statement of purpose, and two letters of recommendation.
- Credential verification and technical transcript module mapping.
Career Outcomes
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Data Analytics Consultant
- Data Engineer
Scholarship Available
- Yes (DkIT International Scholarships & Academic Merit Scholarships)
Key Information
Location
Dundalk, Ireland
University
Dundalk Institute of technology
Intakes
September
Study Mode
On Campus
Tuition Fee
$12,000 / Year
Duration
1 Year
Language
English
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