BSc (Hons) Data Science at London Institute of Banking & Finance

GBP 20,805

London Institute of Banking & Finance, GBR

Type: Undergraduate Duration: 3.0 years

Explore the BSc (Hons) Data Science program at London Institute of Banking & Finance. This program is offered in GBR and provides an excellent learning opportunity in Undergraduate studies.

The BSc (Hons) Data Science Online program at the London Institute of Banking & Finance is designed to equip students with essential skills in data science, programming, and analytical problem-solving. This undergraduate degree can be pursued either full-time or part-time, allowing flexibility to fit studies around personal and professional commitments. The curriculum covers a range of topics including data wrangling, machine learning, and ethical considerations in data science. Students will engage in modules such as Introduction to Data Science, Programming with Python, and Neural Networks, culminating in a bachelor thesis. The program is structured to provide practical experience and theoretical knowledge, preparing graduates for various roles in the data science field, such as data analyst or data engineer. With a total course cost of £20,805, students can benefit from scholarships and flexible payment options, making this an accessible choice for aspiring data professionals.

University
London Institute of Banking & Finance
University Location
GBR (Online)
Program Duration
3.0 years
Ranking
Not available
Part-time allowed
Yes

Required Courses
  • Introduction to Data Science
  • Introduction to Programming with Python
  • Mathematics: Analysis
  • Statistics – Probability and Descriptive Statistics
  • Object-Oriented and Functional Programming with Python
  • Data Quality and Data Wrangling
  • Mathematics: Linear Algebra
  • Statistics – Inferential Statistics
  • Introduction to Academic Work
  • Database Modelling and Database Systems
  • Explorative Data Analysis and Visualisation
  • Data Science Software Engineering
  • Machine Learning – Supervised Learning
  • Machine Learning – Unsupervised Learning and Feature Engineering
  • Neural Nets and Deep Learning
  • Seminar: Ethical Considerations in Data Science
  • Bachelor Thesis
Elective Courses
  • Project: From Model to Production
  • Project: Build a Data Mart in SQL
  • Agile Project Management
  • Self-Arranged Internship I
  • Self-Arranged Internship II
  • Business Intelligence and Data Analytics
  • Sales and Marketing
  • Supply Chain Management and Industry 4.0
  • Data Engineering and Big Data Technologies
  • Artificial Intelligence
  • Crypto and Blockchain
  • Fintech
  • Advanced Data Analysis
  • Online Marketing
  • Social Media Marketing
  • Product Development in Industry 4.0
  • Project: Smart Product Solutions
  • Data Engineering
  • Project: Data Engineering
  • Self-Driving Vehicles
  • Seminar: Current Topics and Trends in Self-Driving Technology