Information Technology SchoolBachelor's in Data Science

Bachelor's in Data Science

Introduction:

This Data Science BSc course offers a comprehensive introduction to the most important areas of the discipline, including data programming, statistical modelling, business intelligence, machine learning and data visualisation.

Developed with input from industry experts, this course covers all the necessary skills and competencies required to delve deeper into this fascinating field. By the end of the BSc degree, you’ll be ready to apply for rewarding roles in the data science and big data industries, as well as the many sectors and organisations that increasingly require data scientists.

PROGRAM AIM:

Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of fine-tuned modules which are prepared with your future in mind. The course will foster your learning development using a range of tools and big data platforms, allowing you to continue to specialise in data engineering, analytics, big data visualisation, statistical modelling and machine learning.

LEARNING OUTCOMES:

During your studies you’ll be encouraged to:

-  apply maths, statistics and science practice
-  recognise and exploit business opportunities using data science innovation
-  find a solution to domain-specific problems using data science capability
-  utilise a range of coding practices
-  build scalable data products for strategic or operational business and contribute through the product life cycle
-  use tools such as Spark, Kafka, Hadoop, Oracle, SQL Server, Linux, Apache Airflow, RStudio, Python - Jupyter, Tableau, and D3 technology

Your learning will see you attend a variety of scheduled sessions such as lectures, tutorials, and workshops. This will be further developed by your revision of module materials and learning exercises outside of scheduled teaching hours. Throughout your learning experience you’ll find the teaching team on hand to support you.

Duration:

3 Years
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Year 1

Data Analysis and Financial Mathematics
Fundamentals of Computing
Introduction to Information Systems
Logic and Mathematical Techniques
Programming
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Year 2

Data Analytics
Data Engineering
Databases
Professional and Ethical Issues
Programming with Data
Smart Data Discover
Statistical Methods and Modelling Markets
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Year 3

Artificial Intelligence and Machine Learning
Big Data and Visualisation
Career Development Learning
Data and Web Development
Project
Cryptography and Number Theory
Project Analysis and Practice

Apply Now!

For more details or admissions contact now!

 
Andrew Barrow
Head of Admission Department

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