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Data Science

Data Science

Anglia Ruskin University

Apply with Advent
Location

United Kingdom

Qualification

Under Graduate(UG)

Fees

Degree apprenticeships are fully funded by your employer and the Government

Duration

4 years

Next intake

Autumn

Entry score

Employment in a suitable role on a permanent contract exceeding 30 hours per week Employer support to undertake this course, with a confirmed, assigned Clinical Designated Facilitator Confirmed eligibility to be funded as an apprentice as set out within the ESFA’s Funding Rules A completed Skills Scan and Initial Assessment discussion Evidence of Level 2 qualifications in 5 subjects including Maths and English e.g. GCSEs at Grade C/4 or above, Functional Skills, or ESFA-approved equivalents, Evidence of at least 96 UCAS Tariff points at Level 3 including at least one STEM (Science, Technology, Engineering, Maths) subject e.g. A Levels (or equivalent)

Course Overview 📝

The Data Science course at Anglia Ruskin University is designed to equip you with the skills needed to analyze complex data and derive actionable insights. You’ll cover everything from data management to advanced analytics and machine learning.

Key Modules 📚

  • Introduction to Data Science 🧩
    • Learn the basics of data science, including data collection, cleaning, and analysis.
  • Statistical Methods 📈
    • Explore statistical techniques used to interpret and analyze data.
  • Machine Learning 🤖
    • Dive into algorithms and models that help predict outcomes and recognize patterns.
  • Data Visualization 📊
    • Master tools and techniques for creating compelling visual representations of data.
  • Big Data Technologies 💾
    • Gain hands-on experience with tools and technologies used to handle large datasets.
  • Ethics and Data Security 🔐
    • Understand the ethical considerations and security measures necessary for handling data.

Practical Experience 🛠️

  • Industry Projects: Work on real-world projects in collaboration with leading companies.
  • Internships: Gain valuable industry experience through internships and placements.

Career Prospects 🚀

Graduates are well-prepared for careers in various sectors, including finance, healthcare, and technology. Typical roles include Data Analyst, Data Scientist, and Business Intelligence Analyst.

Facilities and Resources 🏛️

Benefit from modern labs, advanced computing resources, and a supportive academic environment.

Support and Community 🤝

Join a vibrant community with access to academic support, career advice, and networking opportunities.

  1. Data Analysis Skills 📉
    • Master techniques to analyze and interpret complex data sets, uncovering valuable insights and trends.
  2. Programming Proficiency 💻
    • Gain strong coding skills in languages like Python, R, or SQL, essential for data manipulation and analysis.
  3. Statistical Knowledge 📈
    • Understand and apply statistical methods to make data-driven decisions and validate results.
  4. Machine Learning 🤖
    • Develop and implement machine learning models to predict outcomes and automate data processing tasks.
  5. Data Visualization 📊
    • Create compelling visualizations using tools like Tableau or Power BI to communicate findings effectively.
  6. Big Data Technologies 🌐
    • Learn about and work with big data frameworks and tools, such as Hadoop and Spark, for handling large data sets.
  7. Critical Thinking 🧠
    • Enhance your ability to think critically about data sources, methodologies, and ethical implications.
  8. Problem-Solving Skills 🔍
    • Apply data science techniques to solve real-world problems and make data-driven recommendations.
  9. Communication Skills 🗣️
    • Develop the ability to present complex data insights clearly and persuasively to diverse audiences.
  10. Project Management 📅
    • Manage data science projects from inception to completion, ensuring timely and effective delivery of results.

  • Top-Tier Facilities 🏛️
    • Enjoy state-of-the-art labs and cutting-edge technology that put you ahead in the data game!
  • Expert Faculty 🎓
    • Learn from industry professionals and experienced academics who bring real-world insights to the classroom.
  • Hands-On Experience 🛠️
    • Get practical experience through projects, internships, and collaborations with leading companies.
  • Innovative Curriculum 📚
    • Dive into a curriculum that covers everything from machine learning to data visualization, ensuring you’re well-rounded in the field.
  • Supportive Community 🤝
    • Be part of a vibrant academic community with access to mentoring, networking, and career support.
  • Global Opportunities 🌍
    • Benefit from international partnerships and opportunities to work on global data challenges.
  • Career Prospects 🚀
    • With strong industry connections, our graduates are well-prepared for successful careers in data science.
  • Beautiful Campus 🌳
    • Study in a modern, welcoming environment that’s perfect for both learning and relaxation.

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