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Data is the currency of the 21st century. The MSc Data Science at Arden University is designed for those who want to master the tools of the future: Artificial Intelligence (AI), Machine Learning, and Big Data Analytics. This course takes you from the fundamentals of Python programming to building complex neural networks. Whether you are a math graduate or an IT professional, applystudyvisa.com can guide you toward this future-proof qualification.
Course Overview This is a technical, hands-on master’s degree. You will learn how to handle vast datasets, clean "messy" data, and extract actionable insights that can drive business strategy. The course places a strong emphasis on practical application, ensuring you are comfortable using industry-standard software like Python, Jupyter Notebooks, and Tableau.
You will also explore the ethical implications of AI, preparing you to use data responsibly in a corporate setting.
Key Modules & What You Will Learn
Programming for Data Science: Master Python, the primary language of data science, to manipulate and analyze data efficiently.
Machine Learning: Learn how to build algorithms that can "learn" from data to make predictions and decisions without being explicitly programmed.
Artificial Intelligence & Neural Networks: Dive into deep learning and neural networks to create intelligent systems capable of image recognition and natural language processing.
Big Data & Cloud Computing: Learn to work with massive datasets using cloud platforms and tools like Hadoop.
Data Visualisation: innovative techniques to present complex data in clear, visual formats that stakeholders can understand.
Why Choose Arden University?
From Scratch to Advanced: The course includes foundational modules in mathematics and programming, making it accessible even if you haven't been coding for years (provided you have a numerate background).
AWS & Cisco Resources: Gain access to additional learning resources from tech giants to supplement your degree.
To be eligible for the MSc Data Science program, applicants must hold a Bachelor's Degree from a recognized university.
Grade Requirement: Equivalent to a UK Second Class Honours (2:2).
In the Indian context, this typically requires a minimum of 50% to 55% in graduation (depending on the university).
Subject Background (Crucial):
The degree MUST be in a numerate subject where many modules were mathematics-based.
Accepted Indian Degrees: B.Tech (CS, IT, Electronics, Mechanical), BCA, B.Sc. Mathematics, B.Sc. Statistics, B.Sc. Physics, or B.Sc. Computer Science.
Alternative Entry: If your degree is not in a numerate subject but you have a 2:2 (50-55%), you may still be eligible if you have 18 months of relevant computing work experience.
Standard Entry: Work experience is not required if you hold a relevant numerate Bachelor's degree (Freshers are eligible).
Non-Standard Entry: Applicants without a degree (or with a non-relevant degree) may be considered if they have 3+ years of relevant professional experience.
Experience Type: Must be in a data-based role (e.g., Finance, Engineering, Science, Data Analysis) and involve working with maths/data (not just basic Excel).
Waiver Criteria: An IELTS waiver is available for students who have scored 70% or above in English in Class 12th (CBSE/ICSE/State Boards subject to assessment).
If the student does not meet the waiver criteria, the requirements are:
IELTS: Overall 6.0 (with a minimum of 5.5 in each component).
PTE: Overall 59 (with a minimum of 59 in each band).
TOEFL iBT: Overall 60-78 (or equivalent).
Duolingo (DET): Overall 105 (Subject to change, please verify current intake).
| Overall Band | 6.0 |
|---|---|
| Reading | 5.5 |
| Writing | 5.5 |
| Speaking | 5.5 |
| Listening | 5.5 |
| Overall Score | 59.0 |
|---|---|
| Reading | 59.0 |
| Writing | 59.0 |
| Speaking | 59.0 |
| Listening | 59.0 |
| Overall Score | 79.0 |
|---|---|
| Reading | 19.0 |
| Writing | 19.0 |
| Speaking | 19.0 |
| Listening | 19.0 |
| Overall Score | 105.0 |
|---|---|
| Overall Score | 105.0 |
Career Prospects
Data Scientist
Machine Learning Engineer
AI Specialist
Business Intelligence Lead
Data Architect
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Nimrat Kaur
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