The MSc Data Science is an advanced programme designed to bridge the global skills gap in the data industry. This course transforms students into data-driven experts by combining fundamental mathematical principles with cutting-edge technical skills in Artificial Intelligence, Machine Learning, and Big Data. Whether you are looking to pivot your career or accelerate your growth in the tech sector, this programme provides the practical, hands-on experience needed to thrive in today’s digital economy.
In an era where data is the new oil, businesses worldwide are seeking professionals who can turn raw information into actionable insights. The MSc Data Science at Arden University offers a comprehensive curriculum that covers the entire data lifecycle—from gathering and cleaning to advanced analysis and visualization.
You will delve into the ethical and legal frameworks that govern data usage while mastering industry-standard tools like Python, Tableau, and Apache Hadoop. The course is built on a "Learn by Doing" philosophy, ensuring that every theory you study is applied to real-world scenarios and datasets, preparing you for the immediate demands of the global job market.
This programme is structured to provide 180 credits of intensive learning, concluding with a substantial research project.
Study Mode: Online / Distance Learning or Blended Learning (at UK or Berlin campuses).
Duration: 1 year (Full-time) or 2 years (Part-time).
Core Modules:
Programming for Data Science: Master Python and essential coding for data manipulation.
Mathematics for Data Science: Build a bedrock in linear algebra, calculus, and statistics.
Big Data and Cloud Computing: Explore cloud infrastructure and tools like Hadoop.
Machine Learning: Learn to build and deploy predictive models.
Artificial Intelligence and Neural Networks: Dive into Deep Learning and intelligent systems.
Data Visualisation: Present complex data through engaging visual storytelling using Tableau.
Advanced Computing Project: A final 60-credit dissertation where you solve a real-world data challenge.
To be eligible for the MSc Data Science, applicants should typically meet the following criteria:
Academic Entry: A 2:2 Honours degree (or equivalent) in a numerate subject (e.g., Mathematics, Finance, Computing, Science, or Engineering).
Non-Standard Entry: Applicants with an unrelated degree but 18 months of relevant computing work experience may be considered.
Work Experience Route: Candidates without a degree but with a minimum of 3 years of professional experience in a data-based role (Finance, Analysis, etc.) are encouraged to apply.
English Language Proficiency:
IELTS: 6.5 overall (with a minimum of 6.0 in each component).
Note: Other equivalent English tests or evidence of prior study in English may be accepted.
Technical Readiness: Applicants should demonstrate a strong starting point in Mathematics and a basic understanding of data environments.
Comprehensive professional support tailored to your international academic goals.
Connect with an admissions specialist today to explore your academic potential.
Digital Admissions Assistant