BSc (Hons) in COMPUTER SCIENCE


COURSE OVERVIEW

Tuition Fees Uzb
36,292,800 UZS
per year

Tuition Fees International
54,600,000 UZS
per year


Duration
3 years

Modules
18

Course description

The BSc (Honours) Computer Science course aims to equip students with a comprehensive understanding of the fundamental principles and practical applications of computing technology. The curriculum will cover a broad range of topics including programming, data structures, algorithms, operating systems, software engineering, databases and cybersecurity. Additionally, students will learn about emerging technologies such as artificial intelligence, machine learning, and cloud computing. The course is designed to foster critical thinking, problem-solving skills, and innovation, preparing students for careers in technology and further academic study.

The studies in the course are in line with education for sustainable development (ESD) which is part of the UN Sustainable Development Goals (SDGs) (https://sdgs.un.org/goals). In particular, course learning outcomes, learning and teaching methods and assessments contribute to all sustainable development goals.

Our intention is to cultivate proficient and adaptable professionals who can contribute to the evolving landscape of the tech industry locally and globally.

The BSc (Honours) Computer Science is intended to meet the following aims to:

  1. Provide students with knowledge and understanding of the fundamental principles, methods and technologies that underpin the discipline of computing;
  2. Provide students with technical expertise and practical experience in computer science enabling them to be effective in a varied and fast-developing range of careers in computing;
  3. Provide a coherent selection of specialist subjects which allow students to focus their studies in a themed area within computer science and software engineering;
  4. Provide students with the knowledge and practical use of industry tools and techniques to develop software applications and solutions;
  5. Provide the ability to apply this knowledge and skills to a range of practical situations to resolve business and technical problems and to encourage a disciplined and professional attitude towards the development of such systems;
  6. Provide a motivating and inclusive environment with the opportunity to develop themselves intellectually and socially and to encourage students to develop as independent and self-critical problem solvers;
  7. Prepare students for continued study at an advanced level, either in formal postgraduate study or as continued professional development;
  8. Produce immediately employable graduates with an industrially relevant mix of knowledge, practical skills and self-motivation.

Course structure

This section shows the core and option modules available as part of the course and their credit value. Full-time Undergraduate students study 120 credits per year. Course structures can be subject to change each academic year following feedback from a variety of sources.

Modules are described as:

Core modules are compulsory and must be undertaken by all students on the course.

Option modules give you a choice of modules and are normally related to your subject area.

Electives: from the WIUT module catalogue (subject to pre-requisite requirements and availability).

Additional information may also be included above each level, for example, where you must choose one of two specific modules.

Core modules

  • Introduction to Information Technology
  • Fundamentals of Programming
  • Algorithms and Data Structures
  • Fundamentals of Statistics

Two Options or One Elective

  • Graphic design
  • Introduction to Artificial Intelligence
  • CGI and its implementation
  • Any module from the WIUT module catalogue

Award of Certificate of Higher Education available

Core modules

  • Database Systems
  • Object Oriented Programming
  • Operating Systems

Three Options or one Elective

  • Full Stack Web Development
  • Game development
  • Data Wrangling and Visualization
  • Mobile Applications Development
  • Network Operations
  • Fundamentals of Cyber Security
  • Any module from the WIUT module catalogue

Award of Diploma of Higher Education available

Core modules

  • Computer Science Final Project
  • Software Quality, Performance and Testing

Four Options or one Elective

  • Natural Language Processing
  • Distributed Systems and Cloud Computing
  • Internet of Things
  • Machine Learning
  • Network Security and Cryptography
  • System Analysis and Design
  • Neuromarketing and AI
  • Any module from the WIUT module catalogue

Award of Bachelor of Science is Available

Please note: Not all option modules will necessarily be offered in any one year. In addition, timetabling and limited spaces may mean you cannot do your first choice of modules.

How you will study

The BSc (Honours) Computer Science course is a collection of learning opportunities. Using these opportunities will help you mature in attitude and competence, preparing you for your future career and life in general. Learning in this course is a partnership: expert University staff will guide you through the necessary core knowledge of your subject and help you develop an understanding, while you, increasingly, take the leading role in pursuing the learning that meets your specific needs.

Your course is organized into a number of modules at each level. These are the building blocks of your course. Each module consists of a number of learning activities over a number of weeks designed to help you achieve the knowledge and skills related to a particular area within your subject.

The principal aim of your course is to equip you for professional life, or higher study, relevant to your current programme of study.

To prepare you for this, the learning in your course will not take place only in the class. Your learning will use the following methods, each supporting the others:

Lectures will give you access to expertise and present you with the knowledge you need in your subject.

Practical tutorial, workshops or laboratory sessions will allow you to understand, apply and strengthen your skills under the guidance of a tutor.

Independent study time will let you take more control of your own learning and give you the framework that will help you to keep on learning without supervision.

Personal development will allow you to complement your knowledge with the specific specialised skills that meet your individual needs.

Real-life projects or case studies, normally provided by an organization, will give you the opportunity to engage with employers and use your knowledge and skills to solve a real-life or a business-related problem.

In your first year of study (called Level 4) you will make the full transition into Higher Education. You will develop the key core skills for Computer Science complemented with the foundations of your specific course or cognate area. To help this transition your course has additional classes and support sessions at this level that you will need to fully engage with to prepare yourself for the advanced study that follows.

Your second year of study (Level 5) will help you develop some autonomy. At this level, you will develop detailed knowledge in Computer Science and will be able to deal with more areas by yourself and in teams, reflecting on your own strengths and identifying areas to specialize in.

In your final year of study (Level 6) you will have learned to work autonomously with your lecturers increasingly being there to support you and challenge your thinking; this is the level that completes your preparation for going into industry and further study, with an ability to handle the complexity of large-scale systems and environments and with full control of your further development needs.

Course material will be provided through the online learning platform and is an important resource base for you which you can access at any time and from anywhere provided you have access to the internet. The platform also provides a channel of communication between you and your module leader through blogs. This ensures a student centric approach, focusing on your abilities, needs and learning styles where the module leader is a facilitator of your learning.

In summary, the teaching and learning strategy used will develop your intellectual abilities; your knowledge; your powers of creativity, powers of analysis and your transferable skills. On any individual module, a combination of teaching approaches will be used depending on the nature of the subject being taught, and the specified learning outcomes.

ENTRY REQUIREMENTS

Applicants should satisfy at a minimum one of the following requirements:
  • Successful completion of an appropriate International Foundation course which includes a pass on an Academic English module and Quantitative methods or equivalent; or
  • Successful completion of the first year of an appropriate degree course in a recognized Uzbek or similar university; or
  • Two GCE A level passes (in any subject excluding mother tongue), plus three GCSE passes at grade C or above including English Language and Mathematics; or NC/ND or HNC/HND. (The range of academic disciplines studied is not hereby restricted, but certain vocational courses such as City and Guilds would not satisfy the admissions requirements.); or
  • An Advanced General National Vocational Qualification (GNVQ); or
  • Any other equivalent qualification normally accepted as entry requirements (e.g. International Baccalaureate, etc.).

Applicants must have:

  • Had their secondary education through the medium of English and gained grade C or above in the equivalent of GCSE English; or

  • An IELTS score of 6.0 with a minimum of 6.0 in the writing component or another English Language Test recognized by the University of Westminster; or

  • Successfully completed an appropriate International Foundation course with a “pass” in an Academic English module.

    We accept the TOEFL (IBT (In person test) for entry to our programmes. We also accept TOEFL ‘My Best Scores’ where it relates to TOEFL iBT test results.

    Please note that the TOEFL Home Edition (Online test) is not accepted for entry to WIUT degree programmes.

  • TOEFL should be 78 overall with a minimum of 17 in Writing

Applicants must have an acceptable level of competence in Mathematics. This could be demonstrated by one of the following:

    • A “pass” in a mathematics test approved by the University of Westminster; or

    • Grade C or above in GCSE/’O’ Level Mathematics (or its equivalent); or

    • SAT mathematics component 570; or

    • Successfully completed an appropriate International Foundation course with “pass” in Quantitative Methods module.

 

  • Applicants will have to be 18 years of age at the start of the academic year. For the purposes of this regulation, the academic year runs from 1st October to 30th September of the following year. 

  • Applications are normally processed based on the documentation submitted on the WIUT admissions system. The University reserves the right to introduce other admission processes such as an interview.

Image

COURSE LEADER
Shirin Primkulova

Shirin joined WIUT in 2015 and has since been working as Associate lecturer, Web Content Administrator, Lecturer and Course Leader.

Education: Tashkent University of Information Technologies - BS in Computer Science (2008), Kyung Hee University - MS in Computer Engineering (2011), Westminster International University in Tashkent - Postgraduate certificate of Special Study in Teaching and Learning (2017).

Main

Alumni             Virtual Tour
Intranet           FAQ
Web Mail         Students

Quick Links

About Us         Parents        Scientific Council
Careers            News            Silk Road
Research                                Virtual Reception

 

UzRu

STUDENTS    INTRANET

ALUMNI         WEB MAIL

PARENTS       VRR

Search1