السعر: 45,938 درهم

تفاصيل الدورة

The main goal of all auto industries is to achieve autonomous driving via designing complex software systems.

Most innovations in the automotive sector have been based on electronics and software. Developments such as mobility services, autonomous driving or automated driving, networking, infotainment and e-mobility contribute significantly to the industry. With the number of software-controlled functions in an automatic car, its IT architecture is also changing towards central, virtual high-speed computers. Our goal is to provide students with the most the state-of-the-art technology that will enable them to work and innovate in the automotive domain and any other business domain available in the market today.

In this Software Engineering () programme, students not only learn the current challenges in software design and architecture, but they are also taught to develop solutions to these challenges. They will also learn about the emerging trends in pattern recognition and vehicular technologies. Students will learn to build software and design and implement smart software using cloud computing and machine learning. The subject areas specifically considered in this degree programme include:

     - Advanced software design and analysis technology
     - Processing of large amounts of data
     - Vehicular technologies including sensors and networks
     - Smart systems and decision-making systems
     - The creation of parallel computing or distributed software (Internet of Things, mobile apps)
    -  Pattern precognition for detecting objects to be used in smart systems and autonomous driving
    -  The creation and maintenance of complex software products
     - Security and reliability issues
     - The transition to and operation of software products

Each course is delivered by an industry expert in the subject. Teaching methods include classroom learning practicals and group work; class sizes are kept diverse to facilitate multi-cultural interaction and to promote effective learning. Each subject is taught at least once a year (and some are taught two) and most can be studied in any order.

Students can choose between a 4-semester (2 years) standard-track or two fast-track options ( years and 1 year) depending on their pre-existing ;

FEES:
- Standard: 2 years (120 ECTS): 45, AED per year
- Fast-track, years (90 ECTS): 49,000 AED (first year)

Course Duration:
2 years (120 ECTS) or years (90 ECTS). 

تحديث بتاريخ 08 November, 2024

المتطلبات

To apply for the program, please ensure you submit the following documents:Completed Application FormHigh School/Bachelor’s Diploma and TranscriptProvide official transcripts and diplomas from your high school or undergraduate degree.Note: Undergraduate or postgraduate degrees (Bachelor’s, MBA, or Master’s) must be officially translated into English or German.Work ExperienceFor MBA applicants, a minimum of one year of professional work experience is required after obtaining the first qualifying university degree.Language ProficiencySubmit an English language certificate meeting one of the following minimum scores:TOEFL iBT: 72 overallTOEFL ITP (paper-based): 543Pearson Test of English (Academic): 59Pearson Test of English (General): Level 1Cambridge English Advanced and Proficiency: 160 overallCambridge English Exam First (FCE)TOEIC: Listening/Reading – 785, Speaking – 160, Writing – 150No less than the required minimum in each componentEF SET (50-minute test): 51 (accepted only for students applying with a Medium of Instruction letter)Duolingo: 95Curriculum Vitae (CV)Submit an updated CV detailing your educational background and professional experience, which must include at least one year of relevant work experience post-degree.Copy of PassportProvide a scanned copy of your valid passport.Motivation LetterWrite a motivation letter of at least 500 words outlining your reasons for applying, your career goals, and how the program aligns with your professional aspirations.

وظائف مناسبة لهذه الدورة

Systems Architect , DevOps Engineer , Technical Lead , Data Scientist

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