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Applied Data Science (Conversion)

Applied Data Science (Conversion)

Anglia Ruskin University

Apply with Advent
Location

United Kingdom

Qualification

Post Graduate(PG)

Fees

£18,600

Duration

1 year

Next intake

Spring

Entry score

IELTS (Academic) Overall 6.5 with 5.5 in each of the four language skills (listening, speaking, reading and writing) TOEFL iBT 88 overall with 17 in Writing and Listening, 18 in Reading and 20 in Speaking Pearson PTE Academic 61 overall with 59 in each of the four language skills (listening, speaking, reading and writing)

This course is designed for graduates from non-data science backgrounds who want to pivot into this exciting field. It provides a comprehensive foundation in data science principles and practices, equipping you with the skills needed to analyze, interpret, and leverage data effectively.

Key Features:

  • Comprehensive Curriculum 📚✨: Covers essential topics such as data analysis, machine learning, statistical methods, and data visualization. The program is tailored to ensure you gain a strong grasp of core data science concepts.
  • Practical Experience 🛠️💡: Engage in hands-on projects and case studies that simulate real-world data challenges. Apply your knowledge to practical problems and gain valuable experience.
  • Expert Teaching 👨‍🏫👩‍🏫: Learn from experienced faculty members who are active researchers and practitioners in the field. Benefit from their expertise and industry insights.
  • Industry-Relevant Tools 🧰🔍: Get acquainted with the latest data science tools and technologies. Training includes popular software and programming languages used in the industry.
  • Supportive Environment 🤗🏛️: Access dedicated academic support, career guidance, and a vibrant community of peers. The university offers a range of resources to help you succeed.
  • Career Opportunities 🚀🌍: Prepare for a variety of roles in the data science sector, including data analyst, data scientist, and machine learning engineer. The course is designed to boost your employability in a growing job market.

Course Structure:

  • Core Modules: Introduction to Data Science, Data Analysis and Visualization, Machine Learning, Statistical Methods, and Big Data Technologies.
  • Optional Modules: Depending on the program, you may choose from a range of specialized topics to tailor your learning experience.
  • Project Work: Engage in practical projects and case studies to apply your learning in real-world scenarios.

Entry Requirements:

  • A bachelor’s degree in any subject. No prior data science experience is required, making it accessible for those looking to switch careers.

  1. Data Analysis Mastery 📊🔍 – Develop the skills to analyze complex data sets using advanced statistical methods and machine learning algorithms.
  2. Programming Proficiency 💻🔧 – Gain hands-on experience with key programming languages such as Python and R, essential for data science tasks.
  3. Data Visualization 📈🖼️ – Learn to create compelling and informative visualizations that effectively communicate insights from data.
  4. Data Management 📂📁 – Understand how to handle, store, and manage large volumes of data securely and efficiently.
  5. Critical Thinking 🤔🔬 – Cultivate the ability to critically assess data-driven solutions and make informed decisions based on data analysis.
  6. Problem-Solving Skills 🧩💡 – Apply data science techniques to solve real-world problems and make data-driven recommendations.
  7. Ethical Data Use ⚖️🔒 – Learn about ethical considerations and best practices for using data responsibly and protecting privacy.
  8. Research and Development 📚🔍 – Conduct original research, including designing experiments, analyzing results, and presenting findings.
  9. Industry Readiness 🏢🚀 – Prepare for a successful career in data science with practical skills and knowledge relevant to industry needs.
  10. Collaborative Skills 🤝🗣️ – Work effectively in teams, communicate technical concepts clearly, and collaborate on data science projects.

  1. Cutting-Edge Curriculum 📚💡 – Dive into the latest data science techniques and tools with a curriculum designed to keep you ahead of the curve.
  2. Hands-On Experience 🛠️💻 – Gain practical skills through real-world projects and industry partnerships, preparing you for immediate impact in the field.
  3. Expert Faculty 👩‍🏫👨‍🏫 – Learn from experienced professionals and researchers who bring real-world insights and cutting-edge knowledge.
  4. Flexible Learning ⏳🌐 – Enjoy a range of study options, including full-time and part-time courses, to fit your busy schedule.
  5. State-of-the-Art Facilities 🏢🔬 – Benefit from modern labs and computing resources designed to enhance your learning experience.
  6. Strong Industry Connections 🌍🤝 – Leverage the university’s network of industry contacts for valuable internships and job opportunities.
  7. Supportive Community 🤗👥 – Join a vibrant student community with access to dedicated support services and career advice.
  8. Global Recognition 🌐🏆 – Earn a degree from a university with a strong reputation and global recognition in the field of data science.

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