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Why study in Telecom Paris?
- Telecom Paris is among the top 10 engineering schools in France.
- It offers preparatory classes for undergraduate students who have opted to take up engineering studies.
- It has been ranked in the 64th position by QS rankings.
- The courses are multidisciplinary.
- It has an optimum teacher-student ratio.
Telecom Paris is a member of the Institut Mines-Télécom and the Institut Polytechnique de Paris. It was ranked in the 6th position in France by the World University Rankings and the 7th leading small university globally. According to the QS Ranking, Telecom Paris is in the 64th position for the best university globally in Computer Science.
The above facts make it evident that is a top choice to study abroad for international students.
Telecom Paris has 4 departments:
- The Department of Computer Science and Networking
- The Department of Electronics and Communications
- The Department of Economic and Social Sciences
- The Department of Signal and Image Processing
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BTech in Telecom Paris
The engineering programs offered by Telecom Paris are:
- Applied Algebra
- Data Science
- Distributed Software Systems
- Markets, Organization, Data, Strategy
- Random modeling and scientific computing
- Signal Processing for Artificial Intelligence
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Eligibility requirements
The eligibility requirements for BTech programs in Telecom Paris are given below:
| Requirements for BTech at Telecom Paris | |
| Qualification | Entry Criteria |
| 12th |
No specific cut off mentioned |
| TOEFL | Marks – 80/120 |
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BTech programs in Telecom Paris
Detailed information about the BTech programs offered at Telecom Paris is given below:
Applied Algebra
The Applied Algebra engineering program introduces candidates to the field of IT and telecommunication. It also deals with formal calculation, cryptography, correction coding, and quantum information theory. The engineering program is based on fundamental mathematical foundations, especially algebraic concepts.
The areas are examined from a theoretical perspective. It includes mathematical courses, such as:
- Arithmetic
- Algebraic curves
- Finite fields
There are programs combining mathematics, computer science, and physics, such as:
- Correction coding
- Cryptography
- Quantum information
The courses are taught in the form of lesson-seminar, with approximately 15 students in each class. Certain subjects can be projects or practical sessions on machines and deal with computational algebra.
Data Science
The Data Science engineering program includes all facets related to the misuse, operations, and examination of structured and unstructured data.
The course combines theoretical and practical components, ensuring an optimum balance of mathematics seminars and practical work. The candidates add to their knowledge of web development, databases, statistics, and statistical learning.
Distributed Software Systems
The engineering program of Distributed Software Systems provides studies in structural models, theoretical foundations, practices, solutions, and methods used by the developers, designers, and architects of software systems and distributed systems. It helps the students gain practical knowledge that helps them to understand in-house engineering better.
The topics cover:
- Distribution
- Design
- Verification
- Validation
- Development life cycle
The students are also introduced to up-and-coming fields of application.
Markets, Organization, Data, Strategy
The MODS or Markets, Organization, Data, & Strategy engineering program helps the candidates understand the functioning of markets and corporate strategies. The students also learn about the influence of sustainable development and digital technology on the organization of digital platforms, companies, corporate innovations and information systems, and business models.
It introduces the candidates to the quantitative and qualitative tools used in the Social sciences and Economics.
The MODS program has complementary and multidisciplinary courses, such as:
- Management
- Economics
- Law and Ethics
- Sociology
It provides a deep understanding of the topics related to modern digital transformation.
The program aims to train candidates to be able to transform society and make an impact by creating innovative business models that consider social and environmental approaches and ethics.
The courses enhance the theoretical knowledge of candidates. It also puts into practice business cases, projects with companies, mini projects in class, organizations, start-ups, and external experts.
Random Modeling and Scientific Computing
The engineering program on random modeling and scientific computing offer studies in applied mathematics, particularly in the fields of scientific computing and random modeling for applications in data models and data science, financial mathematics, and image and signal processing.
The engineering program has an extensive perspective of mathematical tools for scientific computing. statistics, and financial mathematics. Its theoretical approach is identical to that of the preparatory class, with practical sessions and seminars. It progresses to focus on finance, probability, or statistics.
Signal Processing for Artificial Intelligence
The Signal Processing for Artificial Intelligence program offers candidates an extensive and operational outlook of signal processing and statistical learning. The candidates understand the issues related to big data and data processing, methodological foundations of statistics and optimization, and techniques to process temporal data such as signal processing.
The teaching focuses on lectures and practical work in real-life scenarios.
Programs for Engineering Degrees
The engineering programs are structured as given below:
- First year – The curriculum in the first year of engineering has multidisciplinary studies aimed at undergraduate students. The tronc commun, or the core curriculum includes courses in areas of science, such as Mathematics, Applied Mathematics, Physics, Computer science, Economics, and the like. The programs also cover topics related to mandatory courses in the humanities, such as social sciences, foreign languages, liberal arts, and so on.
The program is offered at the Paris campus of Telecom Paris. The first year of multidisciplinary studies is followed by a 1 or 2-month compulsory summer internship.
- Second and Third Year – The candidates in this period have to select a specialization in which they will be offered extensive knowledge and that will complete their engineering curriculum. The specialization tracks of the courses. The two years will result in an internship of 6 months. It facilitates the candidate to gain professional experience.
The candidates in the third year can opt to complete their studies in a recognized university in France or anywhere in the world, as part of a Master of Science or Double-Degree program.
About Telecom Paris
Telecom Paris is situated in Palaiseau. It is also known as Télécom or ENST (Ecole Nationale superieure des telecommunications. It is a reputed grande ecole or institute of higher education in science and engineering research and a popular choice to study in France.
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