Programme dates
5-16 July 2027
In-person Program
Data Analytics for Business & Finance Summer School
Learn how data analytics informs business and financial decisions through practical datasets, case studies, teamwork, and responsible use of data.
Last verified: 9 Oct 2026Reviewed by:SSSean Stevens
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Data Analytics at a glance: cost, dates and eligibility
Current status
Upcoming
Eligibility
Undergraduates, graduates, or experienced professionals
Age range / Year group
Ages 18+
Location / Region
London, United Kingdom
Cost
£2,550; £3,525
Duration
2 weeks
Format
In-person
Business & EconomicsFinanceTechnologyEthics
Accommodation: Great Dover Street; single en-suite rooms
Meals: Self-catered
Certificate / Outcome: Completion certificate and academic transcript
Tutors / faculty: King's Business School
Sessions / cadence: Monday–Friday, 4–5 campus hours daily
Study commitment: 150 hours total; 45 teaching hours
Assessment: Report 60%; group presentation 40%
Data Analytics summary
King's Business School introduces data analytics through its applications in business and finance, combining technical practice with ethical and societal questions.
You work with datasets, real-world examples, and peers, then demonstrate your understanding through a coursework report and group presentation.
The strongest fit is someone who wants assessed academic study and practical analytical experience rather than a summer built mainly around sightseeing.
What is Data Analytics for Business & Finance Summer School?
The Data Analytics for Business & Finance Summer School is a King's College London undergraduate module taught by King's Business School. It draws on the university's BSc in Data Analytics for Business and Finance to introduce data manipulation, visualization, analytical problem-solving, and data science tools.
Teaching uses practical exercises, real-world examples, case studies, and group work to connect analytics with business, finance, economics, and technology. Students also examine responsible uses of data and practice communicating their findings through written coursework and a group presentation.
Why Succeed highlights Data Analytics
The module draws directly on King's Business School's undergraduate data analytics degree, giving its business and finance focus a clear academic basis.
Practical datasets, case studies, and group exercises connect analytical tools with decisions businesses actually face.
Ethical and societal reflection helps students evaluate the consequences of using financial and business data.
The report and group presentation assess both analytical reasoning and the ability to communicate findings.
Who is Data Analytics for?
Best for
Learners who want to connect data analysis with business and finance, and are comfortable with independent study, teamwork, and assessed coursework.
Not ideal if
You want a lightly scheduled summer experience or a course focused exclusively on programming without business context.
Is Data Analytics worth it?
This is a useful choice if you want to test your interest in applying analytics to commercial and financial problems. Assessed practical work gives you a stronger basis for reflection than attendance alone, while group tasks develop communication alongside technical understanding.
The intensive workload makes it a substantial academic commitment, and a short introduction cannot replace sustained subject study. Its value also depends on your budget and whether your home institution will recognize the academic credit.
A practical overview of cost, accommodation, meals, dates and provider details to review before deciding.
Cost and what is included
£2,550; £3,525; includes Academic tuition., Course materials., Campus Wi-Fi., Library, classroom, and campus-facility access., Completion certificate., Extracurricular activities, excluding travel., Accommodation with the residential package..
Accommodation
Great Dover Street; single en-suite rooms
Meals
Self-catered
Provider details
Review the King's College London provider page and official sources before making a final decision.
Dates and logistics
2 weeks; London, United Kingdom.
What to check before committing
Confirm current dates, payment terms, travel arrangements, cancellation rules and what is included with the provider.
Compare this program with similar options before deciding on dates, cost, format and fit.
Compare with similar programsHow much preparation does Data Analytics need?
Effort level
High for a short introductory course.
Best started
Prepare documents a few weeks before applications open; plan travel and immigration several months before the session.
Main challenge
Balancing analytical tasks, independent study, and collaborative presentation work.
Typical preparation
Gather your academic evidence and any required English-language qualification.
Draft a personal statement of no more than 300 words explaining your motivation.
Ask your home institution about credit recognition before booking.
Build a budget covering the course, any residence package, meals, and travel.
Useful if
You want a practical foundation for further analytics study.
What do students do on Data Analytics?
You practice using data to understand business and financial problems, combining technical exercises with case studies and collaborative work. Written and oral assessment asks you to explain analytical findings clearly.
Step-by-step process
- 1
Learn core approaches to manipulating and visualizing business and financial data.
- 2
Use data science tools to interpret information and generate actionable insights.
- 3
Work with peers on practical exercises drawing together data from diverse sources.
- 4
Evaluate the ethical and societal implications of analytical decisions.
- 5
Demonstrate your understanding through a coursework report and group presentation.
Data Analytics dates and deadlines
Upcoming
Applications open
9 November 2026
King's summer school application opening.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Programme dates | 5-16 July 2027 | Local | Upcoming | |
Applications open | 9 November 2026 | Local | Upcoming |
Eligibility and requirements
Be at least 18 at the course start.
Be currently or previously enrolled in an undergraduate degree.
Alternatively, have substantial relevant professional experience.
Meet the minimum 2:1 equivalent academic standard.
Have CEFR C1 English proficiency or equivalent.
How much does Data Analytics cost?
2026 tuition
£2,550 — One two-week course.
Funding or discounts
- 2026 residential package: £3,525 — Tuition and accommodation.
- Application fee: £65 — Partner-institution applicants are exempt.
What's included
Academic tuition., Course materials., Campus Wi-Fi., Library, classroom, and campus-facility access., Completion certificate., Extracurricular activities, excluding travel., Accommodation with the residential package.
How to apply to Data Analytics
- 1
Review the course's academic, age, and English-language requirements.
- 2
Complete the undergraduate application form using personal details matching your travel ID.
- 3
Select the course and choose a residential package if required.
- 4
Upload academic evidence, required English-language evidence, and a personal statement of up to 300 words.
- 5
Pay the application fee if prompted, add the payment reference, and submit the form.
- 6
Following a successful assessment, pay the course fee to confirm your place.
Next step with Succeed
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What does Data Analytics cover?
The program covers the following focus areas.
Data manipulation and visualization
Practice preparing and visualizing business and financial datasets to address real-world questions.
Data science tools
Use analytical tools to interpret information, synthesize diverse sources, and generate actionable insights.
Business and financial decisions
Explore how analytics connects business, finance, economics, and technology through applied case studies.
Ethics and communication
Evaluate responsible uses of data and communicate analytical findings clearly in written and oral formats.
Curriculum may be adjusted based on participant interests and current developments.
What is a typical day on Data Analytics?
A typical day during the program.
Campus teaching
Monday–Friday, 4–5 hours daily, usually 09:00–13:00 or 14:00–18:00.
Independent and group work
Independent study, asynchronous learning, and group work contribute to the module's 150 total study hours.
Example social activities
The undergraduate example shows Monday–Thursday activities at 18:00–20:00, including a welcome reception, walking tour, cinema, and comedy.
Who teaches on Data Analytics?
The module is taught by King's Business School and draws on its BSc in Data Analytics for Business and Finance. Teaching emphasizes practical exercises, case studies, and collaboration.
Where do students stay on Data Analytics?
Residential plan
- Single en-suite room: Great Dover Street Apartments provides a single room with a shower, linen, and towels.
- Shared residence facilities: Facilities include shared kitchens, Wi-Fi, a gym, common rooms, laundry, and study areas.
- Security and assistance: The residence has 24/7 reception and assistance, secure access, and CCTV in communal spaces.
- Meal planning: Budget separately for meals and use shared kitchens or campus and local food outlets.
Non-residential plan
- Tuition-only option: Students can select tuition without the residential accommodation package.
- Campus and social access: Tuition includes campus facilities and extracurricular activities, excluding activity travel.
Great Dover Street has refurbishment works scheduled during 2026–27, with possible noise disruption and room moves.
What happens after Data Analytics?
After completing this program, participants often pursue:
Build a foundation for further study in data analytics.
Develop analytical reasoning, teamwork, and communication skills.
Receive a completion certificate.
Receive a final mark on an academic transcript.
Seek home-institution approval for external academic credit.
Credit transfer is at your home institution's discretion.
Where does Data Analytics take place?
The course involves campus study at King's College London in central London. Undergraduate residential students stay at Great Dover Street Apartments, about a ten-minute walk from Guy's Campus and London Bridge station.
Students arrange their own airport transfers.
Data Analytics FAQs
It introduces data analytics and its applications in business and finance. Practical exercises connect data manipulation, visualization, and data science tools with economics, technology, and responsible decision-making.
The course welcomes students new to the subject as well as those broadening existing knowledge. Applicants still need to satisfy the academic and English-language entry requirements.
A coursework report contributes 60% of the final mark, and a group presentation contributes 40%. Assessment follows university academic standards.
Expect 4–5 hours on campus each weekday, usually during a morning or afternoon teaching block. The module comprises 150 total study hours, including 45 teaching hours, independent study, and group work.
The module is comparable to a 15-credit King's undergraduate module, typically equivalent to 3–4 US credits or 7.5 ECTS. Your home institution decides whether to accept transferred credit.
The undergraduate residential package uses Great Dover Street Apartments. Students receive single en-suite rooms with showers, linen, and towels; shared kitchens and residence facilities are available.
Tuition includes academic teaching, course materials, campus Wi-Fi, campus facilities, a completion certificate, and extracurricular activities. Travel associated with extracurricular activities is excluded.
Prepare academic evidence, a personal statement of up to 300 words, and English-language evidence when required. General undergraduate guidance accepts a transcript or degree certificate, or a university acceptance letter for applicants who have not started university.
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Save this program in Succeed to compare it with similar programs, dates, costs and formats in one place.
Compare with other programsContent reviewed by
Sean Stevens
Co-founder, Succeed | Founder, Immerse Education (2012–2026)
Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.
Sources & verification
Source types reviewed
- Pre-course information | Summer Programmes | King’s College London
- Student Experience | Summer Programmes | King’s College London
- Great Dover Street
- Information for applicants | Summer Programmes | King’s College London
- Summer at King's | Summer Programmes | King’s College London
- Undergraduate Summer School | Summer Programmes | King’s College London
- Summer School, Winter School and Bespoke Programmes Terms and Conditions 2027
- Undergraduate Summer School Application Guidance 2026
- Data Analytics for Business and Finance
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
What we verified (on 9 Oct 2026)
Course content reviewed
Session dates checked
Application requirements reviewed
Assessment weights checked
Fee differences identified
Residential arrangements reviewed
How Succeed uses this information
We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.
Data Analytics for Business & Finance Summer School
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