At a glance
24 mo
Duration
6.0
IELTS
€12k
Tuition / yr
en
Language
Master's
Level
- MATH.APP.720Course Code
- 5 creditsECTS Credits
- EnglishLanguage of Instruction
- Advanced studiesLevel
- General scale 0-5Grading
- Faculty of Information Technology and Communication SciencesFaculty
This course focuses on optimization methods, covering both linear and nonlinear techniques. You will explore fundamental algorithms such as the Simplex method for linear optimization and various methods for nonlinear problems, including Newton's method, quasi-Newton methods, and gradient-based approaches. The curriculum also delves into advanced topics like Karush-Kuhn-Tucker conditions and algorithmic considerations for efficiency. This advanced studies course is designed for students seeking to deepen their understanding of mathematical and computational optimization.
Curriculum
The course content covers core and complementary knowledge in optimization. Learning takes place during teaching periods II and III.
- 2023-2024
- Optimization MethodsMATH.APP.720
Careers
This course provides foundational knowledge for roles in fields requiring analytical and problem-solving skills. Graduates are prepared for positions in data analysis, operations research, and technological development.
- Data Analyst
- Operations Research Analyst
- Algorithm Developer
- Quantitative Analyst
Entry requirements
Previous studyCompletion of studies at the advanced level is required.
IELTS6.0 (minimum overall)
Specific admission requirements may vary. Please refer to the university's official admissions pages for the most current information. Official English language proficiency test results are required.
Fees
Tuition (international)12,000 EUR per year
Tuition (home)0 EUR per year (for EU/EEA citizens)
LivingEstimated 9,000 EUR per year
Tuition fees apply to non-EU/EEA students. Living costs are an estimate and can vary based on lifestyle. Check the university website for the latest fee information.
How to apply
1. Check Admission RequirementsReview the specific academic prerequisites and English language proficiency scores for the Master's programme.
2. Prepare Application DocumentsGather necessary documents, including transcripts, degree certificates, CV, motivation letter, and proof of English proficiency.
3. Submit Online ApplicationComplete and submit the application form via Tampere University's application portal by the specified deadline.
4. Attend Entrance Exam/Interview (if applicable)Some programmes may require an entrance examination or an interview.
5. Receive Offer of AdmissionSuccessful applicants will receive an official offer of admission.
6. Accept Offer and Pay Tuition Fee DepositConfirm your acceptance and pay any required deposit to secure your place.
7. Apply for Residence PermitBegin the process of applying for a Finnish residence permit for study purposes.