Finance and Data Analytics with a Year in Industry BSc (Hons) 48 months Undergraduate Program By University of Liverpool |Top Universities
Program Duration

48 monthsProgram duration

Tuitionfee

22,400 GBPTuition Fee/year

Application Deadline

30 Jun, 2024Application Deadline

Scholarship

YesScholarships

Program overview

Main Subject

Finance

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

In choosing to study this course, you will receive rigorous training in areas such as econometrics for finance, programming with Python, theoretical finance, and computational methods. You will have the opportunity to study cutting- edge topics such as data mining, machine learning, financial data visualisation, and financial technology. You will be able to combine your knowledge of finance, programming in Python, and analytics to solve finance problems and generate insights.
INTRODUCTION
The BSc Finance and Data Analytics Year in Industry programme blends together the areas of finance and data analytics and equips you with the knowledge, skills, and abilities to follow a range of careers, e.g. finance and consulting.
You will be equipped with the foundational knowledge of finance and introduced to Python, the programming language. Your understanding of advanced finance theories and their implications for the industry will be developed, and you will learn to use Python and industry-leading datasets to empirically test finance theories. You will also learn to use data visualisation techniques to communicate your insights with the audience.
During your final year, you will deepen your knowledge of the finance industry and have the opportunity to take cutting-edge modules such as Data Mining and Machine Learning. You will also develop a range of transferable skills, including flexibility, problem-solving ability, commercial awareness, and communication, which are highly valued by employers.
Studying Finance with Data Analytics at Liverpool will enable you to reach your full potential as you will benefit from our range of industry links and research expertise in addition to being exposed to our cutting-edge curriculum, the state-of-the-art computer room, and innovative teaching methodologies.

Program overview

Main Subject

Finance

Degree

BSc

Study Level

Undergraduate

Study Mode

On Campus

In choosing to study this course, you will receive rigorous training in areas such as econometrics for finance, programming with Python, theoretical finance, and computational methods. You will have the opportunity to study cutting- edge topics such as data mining, machine learning, financial data visualisation, and financial technology. You will be able to combine your knowledge of finance, programming in Python, and analytics to solve finance problems and generate insights.
INTRODUCTION
The BSc Finance and Data Analytics Year in Industry programme blends together the areas of finance and data analytics and equips you with the knowledge, skills, and abilities to follow a range of careers, e.g. finance and consulting.
You will be equipped with the foundational knowledge of finance and introduced to Python, the programming language. Your understanding of advanced finance theories and their implications for the industry will be developed, and you will learn to use Python and industry-leading datasets to empirically test finance theories. You will also learn to use data visualisation techniques to communicate your insights with the audience.
During your final year, you will deepen your knowledge of the finance industry and have the opportunity to take cutting-edge modules such as Data Mining and Machine Learning. You will also develop a range of transferable skills, including flexibility, problem-solving ability, commercial awareness, and communication, which are highly valued by employers.
Studying Finance with Data Analytics at Liverpool will enable you to reach your full potential as you will benefit from our range of industry links and research expertise in addition to being exposed to our cutting-edge curriculum, the state-of-the-art computer room, and innovative teaching methodologies.

Admission requirements

35+
176+
6.5+
62+
88+
30 Jun 2024
4 Years
Sep

Tuition fee and scholarships

Domestic Students

9,250 GBP
-

International Students

22,400 GBP
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

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A scholarship application checklist

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