MSc in Economics, Finance and Data Analysis, Lancaster University

Lancaster,

12 Months

Check Eligibility

About this course

The Data Science MSc program is designed for students interested in mastering the core skills needed to analyze complex data sets and extract meaningful insights. It covers a range of topics essential for data analysis, machine learning, and statistical modeling, offering both theoretical foundations and practical applications. This course aims to prepare students to handle data-driven challenges across various industries, equipping them with skills highly relevant in today’s tech-centric landscape.

Why this course is highly recommended

Given the increasing importance of data-driven decision-making across industries, this MSc offers relevant skills in analytics, AI, and big data handling. Its focus on practical applications ensures graduates are ready for careers in a fast-evolving job market, making it a strategic choice for students aiming to work in tech, finance, healthcare, or consulting.

Specialisation

The course emphasizes data science techniques, including machine learning, statistical analysis, and data visualization. It also explores related areas like data management and advanced analytics, providing a comprehensive approach to understanding and applying data science methodologies.

Course fees

Application fees

28.82L

1st year tuition fees

28.82L

Living cost

Degree requirements

The program typically requires applicants to have a prior degree in a related field such as computing, mathematics, or engineering. Specific entry criteria may include relevant academic background and proficiency in statistical and programming skills, but detailed requirements are not explicitly provided.

English language test

IELTS

6.5

TOEFL

PTE

DUOLINGO

Career prospects

Graduates of the Data Science MSc are well-positioned for roles like data analyst, data scientist, machine learning engineer, or business intelligence analyst. The program opens doors to opportunities in sectors that rely heavily on data-driven insights, including technology companies, financial institutions, healthcare, and government agencies.

FAQs

What prior skills are needed for this course?

While specific prerequisites are not detailed, a background in computing, mathematics, or engineering is generally expected. Proficiency in programming and statistics will be beneficial.

Is this course suitable for international students?

Yes, the course is designed to prepare students for global careers in data science, making it a good fit for international applicants interested in the field.