

Computational Archaeology: GIS, Data Science and Complexity MSc
- Public University
Faculty of Arts and Humanities
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Overview
Computational Archaeology: GIS, Data Science and Complexity MSc at University College London is a popular program among Indian students. For admission to this course, which has 1 year, an Indian student needs to be eligible and submit documents. The documents to be submitted are academic qualifications, standardised text and language test score, resume and others. English language tests accepted by the university such as IELTS and PTE. The first-year tuition fee for this course at the time of admission is GBP 31,100. Also, there is regular spending on food, travel, staying, books, supplies and others. The annual cost of living is typically GBP 11,266 at University College London.
Duration | 1 year |
Tuition & Fees | ₹36.09 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Fees
When planning for the Computational Archaeology: GIS, Data Science and Complexity MSc, applicants should consider the financial aspects involved. Every student must pay the first-year tuition fee of GBP 31,100. Additionally it is also important to account for living expenses such as accommodation, food, and utility costs. Such expenses may vary according to living styles and other fees added by the University College London. However, accordingly to the official website the average cost of living that international students have to bear is GBP 11,266, annually. To know about the complete breakdown of the University College London Computational Archaeology: GIS, Data Science and Complexity MSc fee structure and all other cost-element-wise expenditures for an elaborate cost overview, please check the table below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 36,09,155 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 13,07,419 |
| Insurance | INR 90,055 |
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Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Entry Requirements
- No specific cutoff mentioned
- 60%
- Read less
- Students must have a Bachelors degree with a minimum overall CGPA of 7.75/10, 6.25/8.0, 5.75/7.0, 4.25/6.0, 3.3/4.0, or 60% where a GPA scale is not used. The overall mark required is dependent on the subject and the ranking of the institution at which the degree has been taken
- A minimum of an upper second-class Bachelors degree in a relevant subject from a UK university or an overseas qualification of an equivalent standard

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 69/90
- Minimum of 62 in each Communicative Skill

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 7/9
- Minimum of 6.5 in each of the subtests
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- No specific cutoff mentioned
- Yes
- Students may get a conditional offer
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Application Process
- Academic transcript provided in English
- Applicant should also outline their career goals through activities such as work experience, internships, and/or volunteering
- A personal statement is required so as to outline the motivation for studying management and future career aspirations . Applicant should consider the following questions when writing your personal statement, Personal statement should be no longer than two sides of A4 paper
- Why do applicant wants to undertake the programme or research?
- What are applicant's academic interests?
- Why do applicant wish to study at UCL?
- What educational experience does the applicant has?
- Does applicant has any relevant work experience?
- Has applicant completed any extracurricular and voluntary activities relevant to the programme?
- What are applicant's career aspirations?
- Copy of passport
- GMAT or GRE score if required
- Proof of English language proficiency
- Students can pay their fees in three installments
- Deadline for the first installment is 31 October
- Deadline for the second installment is 7 February
- Deadline for the third installment is 2 May
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Rankings
| Rank | Rank Publisher |
|---|---|
| #10 | |
| #13 | |
| #22 |
University College LondonStudents Ratings & Reviews
- 45% students never faced discrimination in this university
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Highlights
- Top archaeological researchers and heritage professionals use a raft of computational methods including GIS, data mining, web science, ABM, point-process modeling and network analysis. This MSc draws on UCL's unparalleled concentration of expertise to equip students for future research or significantly enhance their employability
- Students learn about a wide range of concepts that underpin computational approaches to archaeology and human history. Students become proficient in the archaeological application of both commercial and open-source GIS software and learn other practical skills such as programming, data-mining, advanced spatial analysis with R, and agent-based simulation
- The program consists of two core modules (30 credits), four optional modules (60 credits) and a research dissertation (90 credits)
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Scholarships
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