Data Science (with Industrial Experience) MSci Hons

4 Years On Campus Bachelors Program

Lancaster University

Program Overview

Lancaster University's MSci Hons in Data Science (with Industrial Experience) equips students with a solid foundation in mathematics, statistics, and computing, alongside practical skills to tackle real-world data challenges. This program is ideal for analytical thinkers who enjoy coding, problem-solving, and applying data-driven insights to a variety of industries.

Curriculum Structure:

Year 1:
Students begin by building core skills in programming, statistics, and mathematics. Key units include Foundations of Programming, Statistics, and Mathematical Methods for Data Science, ensuring a strong computational and analytical base. These modules prepare students to handle more complex data challenges in later years.

Year 2:
The second year deepens knowledge in data analytics and introduces machine learning. Units like Data Analysis, Predictive Modelling, and Database Systems allow students to explore large datasets, apply algorithms, and develop practical solutions. This year also encourages collaboration on group projects, bridging theory and application.

Year 3:
Students advance into specialized areas of data science, including advanced machine learning and artificial intelligence. Modules such as Machine Learning, Data Mining, and Big Data Technologies provide hands-on experience with cutting-edge tools and real-world datasets. This stage focuses on honing students’ problem-solving and independent research skills.

Year 4 (Industrial Experience and MSci Project):
The final year integrates a full-year industrial placement with a major research project. Students apply their learning in a professional setting while undertaking a supervised MSci Project, blending practical experience with academic research. This prepares graduates for immediate employability and career growth in data-driven industries.

Focus Areas: Machine learning, statistics, data analytics, big data technologies, artificial intelligence, programming, database management

Learning Outcomes: Graduates will develop advanced data analysis and computational skills, apply machine learning algorithms, design and manage databases, and undertake independent research projects while gaining professional experience.

Professional Alignment (Accreditation): Accredited by the British Computer Society (BCS) and aligned with industry standards for data science competencies

Reputation (Employability Rankings): Lancaster University is highly regarded in the UK for computer science and data-related disciplines, consistently ranking in the top 10 for graduate employability and within the top 150 globally for computer science according to QS rankings

Experiential Learning (Research, Projects, Internships etc.)

If you're considering the Data Science (with Industrial Experience) MSci Hons (G903) at Lancaster University, you're looking at a program that seamlessly blends academic rigor with hands-on industry experience. This four-year course is designed to equip you with the essential skills in data analysis, problem-solving, and quantitative reasoning, all while ensuring you're well-prepared for the professional world.

Lancaster's commitment to experiential learning is evident throughout the program. In the first three years, you'll engage in a balanced mix of lectures and practical sessions, with a 50:50 split that emphasizes real-world application. The newly refurbished labs, each accommodating up to 45 students, foster collaborative learning and provide a conducive environment for group projects and workshops. In your final year, you'll undertake a substantial data science individual project, allowing you to delve deep into a topic of interest and gain valuable experience to showcase in interviews and your career.

Moreover, the program offers an industry placement in the fourth year, partnering with organizations that align with your skill set and knowledge, giving you a competitive edge in the global job market.

To summarize, here are some key experiential learning aspects of the program:

  • Industry Placement: Gain hands-on experience by working with partner organizations or research groups, applying your knowledge in real-world settings.

  • Collaborative Lab Sessions: Engage in group projects and workshops in newly refurbished labs designed to promote teamwork and practical learning.

  • Individual Data Science Project: Undertake a substantial project in your final year, allowing you to explore a specific area of interest and develop specialized skills.

  • Professional Development: Learn to apply legal, social, ethical, and professional codes of conduct relevant to a practicing computing professional, including principles of equality, diversity, inclusion, and sustainability.

By choosing this program, you're not just earning a degree; you're preparing yourself for a successful career in the ever-evolving field of data science. If you have any more questions or need further information, feel free to ask!

Progression & Future Opportunities

Graduates of Lancaster University's Data Science (with Industrial Experience) MSci Hons (G903) programme are exceptionally well-prepared to step into the rapidly growing field of data science. With a median salary of £34,000 just 15 months after graduation, many alumni secure roles at major tech companies such as IBM, Google, BBC, and BAE, while others bring their expertise to innovative small and medium-sized enterprises (SMEs) and startups.

Key Highlights:

University Services Supporting Employability:

  • Take part in The Lancaster Award, which provides valuable opportunities for work experience, career development, and community engagement.

  • Benefit from the Careers and Employability Service, offering guidance on applications, interviews, and career planning.

Employment Statistics and Salary Figures:

  • Graduates earn a median salary of £34,000 within 15 months of completing their degree.

University–Industry Partnerships:

  • The programme collaborates with leading companies like IBM, Google, BBC, and BAE, giving students access to industry placements and valuable networking opportunities.

Long-Term Accreditation Value:

  • The course is designed to align with professional accreditation standards set by organizations such as the British Computer Society and the Royal Statistical Society, ensuring that your qualifications remain relevant and respected.

Graduation Outcomes:

  • Students graduate with a strong foundation in computer science and statistics, blending theoretical knowledge with hands-on practical experience to prepare them for a successful career in data science.

Further Academic Progression:

  • After completing the MSci Hons, graduates can continue to advanced studies in data science, artificial intelligence, or related fields. Lancaster University also offers postgraduate programmes such as the MSc Data Science, allowing students to further deepen their expertise and enhance their career prospects.

Program Key Stats

£30,770
£ 29
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

AAA
3.0 - 3.4
36
70 - 87

N/A
N/A
6.0
87

Additional Information & Requirements

Career Options

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • AI Research Scientist
  • Data Engineer
  • Quantitative Analyst
  • Statistician
  • Big Data Specialist
  • Analytics Consultant
  • Operations Research Analyst
  • Product Analyst  

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