Computational Archaeology: GIS, Data Science and Complexity MSc
4.1 /5
- Public University
Faculty of Arts and Humanities
Talk to ExpertComputational Archaeology: GIS, Data Science and Complexity MSc at UCL University Overview
Computational Archaeology: GIS, Data Science and Complexity MSc
at UCL University
Computational Archaeology: GIS, Data Science and Complexity MSc offered at University College London is a PG course, which is considered the top-ranked course across the university and the country. Students who want to apply, can take up the course within the duration of 1 year. International students applying at for this course need to submit the necessary documents as per the department and the course. International students need to submit qualification proofs along with test scores of exams including IELTS, TOEFL, PTE and Duolingo. The University College London tuition fee for Computational Archaeology: GIS, Data Science and Complexity MSc for the first-year international student is Pound 31,100 (INR 4,021,230). In addition to the tuition fees students need to look into other various factors that are necessary to manage their stay during the study at the university, which include the other necessary costs like:
- Accommodation costs
- Hostel fees
- Food
- Books
- Supplies
- Utilities, etc.
Duration | 1 year |
Tuition & Fees | ₹39.37 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
Table of contents
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Fees
Computational Archaeology: GIS, Data Science and Complexity MSc
at UCL University
The fee breakup of the University College London Computational Archaeology: GIS, Data Science and Complexity MSc includes the first-year tuition fee and cost of living. The cost of living will include expenses like rent for accommodation, meals, and other utilities. The total average University College London cost of living can be around Pound 11,266 (INR 1,456,694). The first-year tuition fees Computational Archaeology: GIS, Data Science and Complexity MSc is Pound 31,100 (INR 4,021,230). Students must note that the total expenses are subject to vary, depending on the additional charges set by the University College London. Students can check the table given below to know more about University College London Computational Archaeology: GIS, Data Science and Complexity MSc fee breakup.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 39,36,546 |
| Application Fee | INR 11,392 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 14,26,017 |
| Insurance | INR 98,224 |
Calculated at the exchange rate of 1 Pound = INR 126.577034 | Tuition & expenses were last updated on 17ᵗʰ November 2025Download exam sample paper
TOEFL
TOEFL
PTE
IELTS
Duolingo
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Entry Requirements
Computational Archaeology: GIS, Data Science and Complexity MSc
at UCL University
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- 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
Convert your GPA to Percentage
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GPA
Percentage
CGPA
Out of 4
TOEFL
- No specific cutoff mentioned
Sign-up to view details
Convert your GPA to Percentage
Calculate your score and check your eligibility at over 2000+ universities.
GPA
Percentage
CGPA
Out of 4
PTE
- Marks - 69/90
- Minimum of 62 in each Communicative Skill
IELTS
- 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
Duolingo
- No specific cutoff mentioned
Sign-up to view details
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Application Process
Computational Archaeology: GIS, Data Science and Complexity MSc
at UCL University
Step one
Prepare documents for application
LOR
- Applicant need to submit two references
Step two
Additional documents required
- 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
Step three
Start your online application
Step four
Application fees for this course
Pound 90 = INR 11.38 Thousand
Mode of payment: Credit card
- 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
Computational Archaeology: GIS, Data Science and Complexity MSc
at UCL University
University Ranking
| Rank | Rank Publisher |
|---|---|
| #13 | |
| #14 | |
| #17 |
University College LondonStudents Ratings & Reviews
4.1/5
23 Verified ReviewsStudent Views (Based on Reviews)
- 65% students never faced discrimination in this university
Vibe of Campus
Academically oriented
Multi-dimensional
Friendly
Liberal
Internships3.7
Part time work3.7
Post study jobs3.9
Quality of faculty4.8
Student Life4.6
Value for money4.1
Public transportation4.7
Safety4
Indian Food4.3
Permanent Immigration3.3
A
Anonymous
Computer Science MSc - Batch of 2026
4.4
MSc Computer Science at UCL
Tips: Huge cultural shift. Students/ professors/ staff are very professional, and the same is expected of you. The way of teaching is very different, one must study and be prepared for the lecture, as they are interactive. I did receive a scholarship based on merit. Very happy with my experience, will recommend 10/10.
Likes (Internships): There is a wide variety of opportunities available when it comes to internships and good mentors, depending on how much work we put into them. There are a lot of organizations that offer internships in different sectors, but getting one may involve a lot of networking and hard work. We will give you an edge by using your career advisor.
Dislikes (Permanent Immigration): There are however, various means by which one may go about becoming a permanent resident in the UK. It is a very hard thing to be sponsored by an employer and stay permanently in the UK. Most employers do not have any problems at all employing graduates using the PSW visa method, and thus this is a good opportunity for you to demonstrate your skills and experience.
Total Monthly ExpensePound 500
Prepping time for classes25 hours/Week
Expected Annual SalaryPound 70000
A
Aryan Singh Virdi
Engineering (Mechanical with Business Finance) MEng - Batch of 2028
4.5
A challenging but rewarding experience in the heart of London
Tips: I had a smooth transition to UCL. Although studying in London is very different from school because of the independence between time and academics now. One of the biggest positives is how international and diverse the university is, so you meet people from a huge number of backgrounds. Overall, I am very satisfied. The workload of my course is very intense, but it provides a very strong technical foundation for your career.
Likes (Student Life): Student life at UCL is one of the best parts of studying here because there is always something happening alongside academics. My normal day involves lectures, studying around campus, and spending time with friends, as well as getting involved in societies and other activities, with regular social events. As Punjab Society president, I will say this was definitely very enjoyable for anyone coming from India.
Dislikes (Part time work): There are part-time job opportunities on and off campus, but those on campus can be highly competitive. At UCL, students can have part-time opportunities as ambassadors, administration, and events staff. In addition to that, as the university is located in Central London, there can be part-time job opportunities in the retail and hospitality industry. The secret is to keep the hours down.
Total Monthly ExpensePound 400
Prepping time for classes30 hours/Week
Expected Annual SalaryPound
A
Aryan Naik
Robotics and Artificial Intelligence Meng - Batch of 2029
4.5
Best in the UK for both best education and that University Life
Tips: I love the multicultural and open-minded thoughts that the whole campus shares regarding everything, and all academics will help you in the best possible ways for your ideas. Very satisfied with the course and university and would recommend this as a path to anyone who wants to experience abroad education.
Likes (Part time work): A lot of opportunities within the university, which are posted on university's website accessible to all students, as well as numerous opportunities in the local market Unless you are interested in regular long-term hardware competitions for which you have to spend countless nights soldering and debugging code. Part-time work is manageable. The avg payout is about £10.50 per hour for both uni and local market jobs.
Dislikes (Permanent Immigration): Not likely in the current political scenario where permanent residency is being lengthened with a 10-year baseline wait. Also, employers here now tend to hire only if you are a citizen or PR holder. Though, if successful in getting a job post-graduation, then PR is obtained in 5 years.
Total Monthly ExpensePound 3000
Prepping time for classes40 hours/Week
Expected Annual SalaryPound 55000
S
Shinjinee Pal
Education and Technology MA - Batch of 2025
4.4
An experience of a lifetime if you're willing to take charge
Tips: If you don't have a scholarship, I would recommend working part-time. It's pretty doable and also a good break from studies. - London is great in terms of public transport. Try to have a basic understanding before going (Oyster card, bus, underground, train, etc.). Otherwise, it may get a bit overwhelming. I would recommend the TFL app.
Likes (Quality of faculty): Faculty gets a high rating because UCL professors are top-tier researchers who are surprisingly accessible during office hours. The level of teaching and depth you get in lectures is incredible. Just keep in mind that UCL relies heavily on self-directed study. Professors expect you to take ownership—they give you the framework and primary literature in class, but going beyond the reading list and digging deeper is entirely up to you.
Dislikes (Permanent Immigration): Permanent immigration gets a low rating because staying in the UK long-term after UCL is a complete minefield. Sure, you get the 2-year Graduate Route visa to work post-graduation, but transitioning from that to a Skilled Worker visa is ridiculously tough. UK salary thresholds keep rising, and a lot of companies flat-out refuse to sponsor international candidates because of the administrative costs. I'd love to settle here if the right sponsored role came along, but as an international student, the immigration policy makes it a constant uphill struggle.
Total Monthly ExpensePound 1500
Prepping time for classes35 hours/Week
Expected Annual SalaryPound
V
Vaishnavi Koolamkunnath
Neuroscience MSc - Batch of 2026
3.6
Navigating Academics, Funding, and Life as an International Student at UCL
Tips: Students should know more about the coursework, as well as the academic hierarchy It's explicitly written on the website; having good knowledge will actually help you in setting faster (with respect to courses and academics). Personally, there was no cultural shock, as London was pretty much different nationalities, including Indians in huge numbers. I got a departmental scholarship, which is academically promising. Other bursaries are more like financially based; your parents' financial status comes into play. I felt this was one of the best choices I have made because of its research quality, multidimensional approach, and quality.
Likes (Student Life): Student life is really good in this university, since I am on the clinical side; we are mostly within the hospital grounds, despite that, student volunteers organize variety of programmes every week, specific meetups and leisure parties A lot of events are organized throughout the academic year; that even includes taking students on field trips, and I am specifically part of the football club, Indian dance society, and reading club.
Dislikes (Part time work): Part-time jobs are quite hard to find, especially given the city situation. As it's London, there's massive crowd pull, and likewise opportunities are very competitive Ideally, part-time jobs are manageable when you have your coursework; once after your thesis it becomes little tricky The average payout here in London is 14 pounds per hour.
Total Monthly ExpensePound 1500
Prepping time for classes18 hours/Week
Expected Annual SalaryPound
View All 26 Reviews
Computational Archaeology: GIS, Data Science and Complexity MSc at UCL University Highlights
Computational Archaeology: GIS, Data Science and Complexity MSc
at UCL University
- 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
Computational Archaeology: GIS, Data Science and Complexity MSc
at UCL University
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Computational Archaeology: GIS, Data Science and Complexity MSc
at UCL University