Students
مصاريف
تاريخ البدء
وسيلة الدراسة
داخل الحرم الجامعي
مدة
حقائق البرنامج
تفاصيل البرنامج
درجة
الماجستير
تخصص رئيسي
Artificial Intelligence | Data Science
التخصص
علوم الكمبيوتر وتكنولوجيا المعلومات | لسانيات
نوع التعليم
داخل الحرم الجامعي
توقيت
لغة الدورة
إنجليزي
عن البرنامج

نظرة عامة على البرنامج


Program Overview

The MSc Applied Data Science program is offered in both full-time and part-time study modes, with classes held at the Colchester campus. Data is a crucial component of the digital economy, and fields like data science and artificial intelligence are expected to drive future employment. Various sectors, including health, finance, and education, are experiencing significant growth but face challenges due to a lack of qualified candidates.


Program Description

The program is designed to support individuals who have previously studied humanities or social sciences, or those with some science and data experience through degrees in life sciences or business. The conversion courses aim to equip students with the necessary skills to succeed in future careers. Depending on the course, students will learn programming in R, design and implementation of novel solutions, machine learning, and statistical modeling.


Key Skills and Areas of Focus

  • Programming in R
    • Ability to design and implement novel solutions
  • Machine learning
  • Statistical modeling These skills are essential for a career in data science and artificial intelligence, with applications in various fields, including health, finance, education, and more.

Target Audience

The program is tailored for individuals who may not have a traditional background in core science areas like computer science, mathematics, or engineering. It is ideal for those who have studied humanities or social sciences or have some experience in science and data through other fields. The goal is to provide a pathway for these individuals to gain the necessary qualifications and experience to flourish in a future career in data science and artificial intelligence.


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