Computer Science
# 10936
QS Subject Rankings
48 Month
Program duration
Yes
Scholarships
Program Overview
Main Subject
Computer Science
Degree
BEng
Study Level
Undergraduate
Study Mode
On Campus
Based on the theoretical and practical knowledge of computer science acquired within the program, will be able to analyze and develop existing software products.
Create new software solutions for tasks in various fields, using modern standards and computer technologies, taking into account professional ethics.
Graduates will also be able to identify their own learning needs and independently acquire new knowledge in the rapidly developing field of computer science or continue their studies at the next level.
Eligibility Requirements
- A grade of 50% or higher in PCB in Class 12 is required for admission to Alte University.
- The candidate must be at least 17 years old.
- The institution may then interview the candidate to evaluate his or her proficiency in speaking and comprehending Basic English.
Standardized Tests
Alte University does not require any kind of standardized test(like SAT, ACT, GMAT, GRE, or EA) for specific programs.
English Language Proficiency
Students can apply without an English Language Proficiency Test Score at Alte University. However, an English Language Proficiency Test Score is not required for any program at Alte University. If students have an English Language Proficiency Test Score, they can submit it as proof of their English Proficiency.
Tuition Fees and Scholarships
Domestic Students
Tuition Fee/year $3,000 | Other Expenses |
International Students
Tuition Fee/year $3,000 | Other Expenses
|
Application Deadline
Spring Intake 2025 Term
Domestic Deadline | International Deadline |
---|---|
April 30,2024 | April 30,2024 |
Fall Intake 2025 Term
Domestic Deadline | International Deadline |
---|---|
October 30,2025 | October 30,2025 |
Curriculum
Computer Science Curriculum
1. Lecture
2. Working in groups
3. Discussion
3. Explanatory
4. Presentation
4. Brainstorming
6. Practical method
7. Problem-based learning (BPL)
8. Deductive - Inductive methods
9. Analytical method; Synthetic method
10. Laboratory method
11. Roleplay
12. Teaching through simulators
13. Learn by doing, etc.
Program Benefits
Program Benefits of Computer Science
- Training courses based on modern learning materials: object-oriented programming, data structures and algorithms, tech entrepreneurship, graphic design, computer networks, network systems management, unstructured databases, mobile application development, system programming, machine learning, data analysis, introduction to cyber security, data engineering, IoT-smart systems, UI/UX design, software engineering, DevOps and more;
- Project-based learning: in addition to a large part of the courses, which involves the implementation of projects, the student completes two independent projects, where the student develops a software product together with a team, whose ideas will be involved in the creation of partner organizations: prepare project documentation, build a working prototype, and put into practice the knowledge and experience gained in the field;
- Specialization optional modules: Angular, blockchain technologies, digital signal processing, game creation, iOS programming, natural language processing, parallel computing, smart contracts, software testing automation, product design, cloud computing, the programming language C#, and management information systems.
- A real opportunity to develop and implement a business idea through the Center of Innovation and Entrepreneurship at the university.
- Close contact with partner organizations of the program and implementation of individual/group projects with their support: the creation of applications, creation of systems using IoT technologies, creation of small software systems, integration and testing of systems, designing of small and medium-sized networks, and others.
- Workshops, thematic seminars, meetings with guests, and others.
- Involvement in the process of conducting research.
- Participation in the projects initiated by the Digital Transformation Center.
Career Possibilities
Career development and assisting students and alumni in finding employment are top priorities for the university.
Alte University strives to create a learning environment that allows students to gain relevant knowledge and skills that will help them stand out in the workforce, in line with its mission.
Those who major in computer science can pursue the following careers:
- Data Science
- Cybersecurity
- Artificial Intelligence (AI)
- Machine learning
- User experience/user interface
- Design and development
- Software Engineer
- Site Reliability Engineer
- Analyst and Research Careers
- Computer and Information Research Scientist
- Information Security Analyst
- Software Quality Assurance Analyst
- Web Designer
- UX & UI Designer
- Web Developer
- Software Developer
- Mobile App Developer
Research Opportunities
Alte University, located in Tbilisi, Georgia, offers various academic programs, including those in the field of Computer Science and Engineering (CSE). While there isn't a lot of publicly available detailed information specifically on CSE research opportunities at Alte University, I can provide an overview of the types of research opportunities you might expect at a university in Georgia, as well as general research areas in Computer Science and Engineering (CSE) that are commonly explored in such academic environments.
CSE Research Opportunities at Alte University
Research opportunities at universities typically depend on the specific department, faculty interests, and collaborations with industry or international institutions. Here's a general outline of what you can expect in terms of research in the field of Computer Science and Engineering (CSE) at Alte University or similar institutions:
1. Research Areas in CSE
Here are some common research areas in Computer Science and Engineering that universities worldwide explore, which may also be available at Alte University:
Artificial Intelligence (AI) and Machine Learning (ML)
Research in AI and ML focuses on developing algorithms that allow machines to learn from data and make intelligent decisions.
Topics include deep learning, neural networks, natural language processing (NLP), computer vision, and reinforcement learning.
Students may get the chance to engage in research related to AI applications in fields like healthcare, robotics, autonomous vehicles, and more.
1.2 Data Science and Big Data
This research area involves techniques to analyze and interpret large datasets.
Topics include data mining, predictive analytics, data visualization, and data management.
Research in big data can focus on applications in healthcare, finance, marketing, or smart cities.
1.3 Cybersecurity
This is one of the most important areas in CSE, focused on protecting computer systems, networks, and data from cyber threats.
Research topics include cryptography, network security, ethical hacking, penetration testing, and security in cloud computing.
As cybersecurity threats continue to evolve, research in this field will remain highly relevant.
1.4 Software Engineering and Development
This area involves research into software development methodologies, software testing, and the improvement of software design and architecture.
Topics could include agile development, continuous integration/continuous deployment (CI/CD), and programming languages.
1.5 Internet of Things (IoT)
The IoT research area involves developing systems that connect physical devices to the internet, enabling remote monitoring and control.
This includes smart homes, wearables, and industrial IoT for automated processes.
1.6 Robotics and Automation
Robotics is a multidisciplinary field that involves the design, construction, and operation of robots.
Research can include robot design, robot perception, and human-robot interaction.
1.7 Cloud Computing and Distributed Systems
Research in cloud computing focuses on developing scalable and efficient cloud-based solutions for businesses and individuals.
Topics can include cloud infrastructure, virtualization, distributed storage, and network protocols.
1.8 Blockchain and Cryptocurrencies
With the rise of blockchain technologies and digital currencies like Bitcoin and Ethereum, research in this field is growing rapidly.
Topics include smart contracts, cryptocurrency applications, and blockchain for supply chain management.
1.9 Human-Computer Interaction (HCI)
Research in this area focuses on improving the interaction between humans and computers, and developing more intuitive and user-friendly interfaces.
Topics include usability testing, user experience (UX), and interaction design.
Key Faculty Members
Ruso Sanadze
Dean of the School of Information Technology
Tamar Bendeliani
Manager of School of Information Technology
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