رؤية البرنامج

الريادة في مجال الذكاء الاصطناعي وعلم البيانات لتقديم حلول ذكية بهوية ايمانية تدعم البحث العلمي والابتكار التقني .

رسالة البرنامج

تمكين كفاءات متميزة في الذكاء الاصطناعي وعلم البيانات عبر برامج تعليمية مبتكرة تعزز البحث التطبيقي والتحول الرقمي، وتطوير حلول ذكية تلبي احتياجات المجتمع اليمني وتدفع التقدم التكنولوجي، في إطار الالتزام بالمسؤولية الوطنية والقيم الإيمانية .

توصيف البرنامج Program Specification الخطط الدراسية Study Plans

أهداف البرنامج

1. في الذكاء الاصطناعي وعلم البيانات تعتمد على التعليم التطبيقي المدمج لضمان إكساب الطلاب مهارات تقنية تمكنهم من المنافسة في سوق العمل المحلي والدولي.

2. توجيه مشاريع التخرج والأبحاث في القسم نحو ابتكار حلول تعتمد على البيانات والذكاء الاصطناعي لمعالجة تحديات واقعية في الصحة، وتحليل البيانات، وأتمتة الخدمات.

3. تعزيز التعاون مع القطاعات التكنولوجية لتوفير تدريب ميداني متبادل في مجالات تحليل البيانات والذكاء الاصطناعي.

4. ارساء بيئة أكاديمية ذكية ترتكز على التقنيات المتطورة لتعزيز دور القسم كمرجع للابتكار في تقنيات الذكاء الاصطناعي وعلم البيانات.

بيانات البرنامج

الفئة المستهدفة

خريجي الثانوية العامة القسم العلمي. يتم القبول بناء على المعايير التي حددتها الكلية (يتم نشرها سنوياً بعد تحديثها).

نظام الدراسة

أربع سنوات 8 فصول دراسية

الشهادة الممنوحة

بكالوريوس في الذكاء الاصطناعي وعلم البيانات

Graduate Attributes:

After successfully completing the program, the graduate should be able to:

  • 1. Apply mathematics foundation, programming fundamentals and Artificial Intelligence and Data Science knowledge and skills to get solutions to complex discipline-related problems.
  • 2. Identify and analyze computing problems using computational approaches, methods, tools and techniques.
  • 3. Analyze, design, implement, evaluate, and manage computing-based solutions to computing problems in the context of Artificial Intelligence and Data Science discipline to meet the users and organizations goals and objectives.
  • 4. Develop and use effective interpersonal skills to work effectively as a part of the team as well as any other role within the team to perform a required task in a variety of professional contexts.
  • 5. Use efficient project management, research capability, leadership, communication, interpersonal relationships and life-long learning skills.
  • 6. Communicate effectively Artificial Intelligence and Data Science concepts within a multidisciplinary and professional context.
  • 7. Demonstrate commitment to ethical, legal, security, political, and social responsibilities and issues as professionals in computing practice.
  • 8. Demonstrate interest to commence postgraduate studies in Artificial Intelligence and Data Science and related fields.

Program Intended Learning Outcomes (PILOs)

A. Knowledge and Understanding:

Upon successful completion of the Program, graduates should be able to:

  • A1. Demonstrate a deep knowledge of the essential facts, concepts, principles and theories related to the fundamental sciences and the field of Artificial Intelligence and Data Science.
  • A2. Identify the recent trends of technology and its impacts on the individuals, organizations and society in the area of Artificial Intelligence and Data Science.
  • A3. Describe the principles of various programming skills, and knowledge of computing that leads to exercise critical judgement for solving real world computing problems
  • A4. Review of the recent models, techniques, tools and technologies to produce solutions relevant to the domain of Artificial Intelligence and Data Science to meet a set of agreed requirements.
  • A5- Define an awareness of the social, professional, ethical and legal issues involved in the use of computer and intelligent systems that will continue to challenge researchers in the future

    • B. Cognitive/ Intellectual Skills:

    Upon successful completion of the program, graduates should be able to:

  • B1. Critically analyze complex computing problems using the basic concepts, principles, analytical and mathematical models, algorithms and software tools related to the field of Artificial Intelligence and Data Science.
  • B2. Evaluate emerging data analysis technologies and their application to different types and amounts of data related to Artificial Intelligence and Data Science.
  • B3. Select an appropriate model/framework for developing and managing intelligent-based solutions.
  • B4. Evaluate a computing-based solution in the context of Artificial Intelligence and Data Science and related disciplines.

    • C. Practical and Professional Skills:

    Upon successful completion of the program, graduates should be able to:

  • C1. Apply computer science theory, Artificial Intelligence and Data Science, and software development fundamentals to design and develop intelligent-based solutions.
  • C2. Design, implement, and test a computing-based solution to meet a given set of computing requirements in the context of Artificial Intelligence and Data Science.
  • C3. Deploy effectively computing tools and techniques used for the construction and documentation of intelligent applications of varying complexity.
  • C4. Utilize and adapt computing tools techniques and intelligent- based systems to meet desired needs.

    • D. General and Transferable Skills:

    Upon successful completion of the program, graduates should be able to:

  • D1. Function effectively individually, as a member, or leader of a team engaged in activities appropriate to the Artificial Intelligence and Data Science discipline to accomplish a common goal.
  • D2. Commit to professional ethics, responsibilities, and norms of professional computing practices.
  • D3. Communicate effectively in writing and verbally in a variety of professional contexts.
  • D4. Engage in continuing professional development and lifelong learning as a computing professional.

    • للتواصل والاستفسار

    يمكنك ارسال استعلام او التواصل معنا عبر مراسلتنا بالبريد الإلكتروني

    ecf@21umas.edu.ye