associate degree in artificial intelligence
The Associate Degree in Artificial Intelligence program at Newports Institute is designed to equip students with a strong foundation in AI technologies and applications. This two-year full-time program combines classroom instruction, hands-on projects, and real-world case studies to provide a comprehensive education in artificial intelligence. Key areas of focus include machine learning, neural networks, natural language processing, robotics, and data analysis. The program ensures that students gain both theoretical knowledge and practical skills, preparing them for successful careers in the rapidly evolving field of artificial intelligence.
- Overview
- Requriments
- Career Prospects
- Roadmap
Embark on an immersive exploration into the cutting-edge realm of artificial intelligence with the Associate Degree Program (ADP) in Artificial Intelligence offered by Newports Institute. This meticulously crafted program is designed to equip participants with essential skills in machine learning algorithms, natural language processing, computer vision, deep learning frameworks, and ethical AI development.
The ADP in Artificial Intelligence provides an accelerated pathway into the professional landscape, delivering a recognized credential in half the time typically required for a traditional bachelor’s degree. This makes it an ideal choice for individuals keen on starting or advancing their careers in the dynamic field of AI. Whether you are ready to kickstart your professional journey or aim to elevate your current expertise, this program guarantees to impart the knowledge and practical insights necessary for success in today’s AI-driven world.
Forge a solid foundation for future career advancement and explore diverse opportunities in artificial intelligence with Newports Institute’s ADP. Acquire invaluable hands-on experience and cultivate industry-relevant skills that will set you apart in this competitive field, preparing you to thrive in the swiftly evolving domains of AI research, development, and application.
Admission Eligibility Criteria
Intermediate (equivalent to 12 years of education) with at least 50% marks.
Note
- Candidates having ‘A’ levels are required to provide equivalence certificate from Inter Board Committee of Chairman (IBCC), Islamabad. (http://www.ibcc.edu.pk/)
- Candidates having less than 50% marks will be eligible for admission after successful completion of “Zero Semester”.
- Course exemptions are not allowed.
- Big Data Analyst
- User Experience (UX) Designer/Developer
- Natural Language Processing Engineer
- Researcher
- Research Scientist
- Software Engineer
- Data Mining and Analysis
COURSE CODE | SUBJECT TITLE | Domain | CREDIT HOUR | ||
TH | PR | TOTAL | |||
CSC 124 | Programming Fundamentals | CS-Core | 3 | 1 | 4 |
MTH 141 | Discrete Structures | QR1-GER | 3 | 0 | 3 |
MTH 100 | Calculus and Analytical Geometry | QR2-GER | 3 | 0 | 3 |
CSC 100 | Application of Information & Communication Technologies | GER | 2 | 1 | 3 |
COM 001 | Functional English | GER | 3 | 0 | 3 |
Semester Total Credit Hours | 14 | 2 | 16 |
COURSE CODE | SUBJECT TITLE | Domain | CREDIT HOUR | ||
TH | PR | TOTAL | |||
CSC 320 | Object Oriented Programming | CS-Core | 3 | 1 | 4 |
EEG 141 | Digital Logic Design | CS-Core | 2 | 1 | 3 |
MTH 230 | Linear Algebra | MTH | 3 | 0 | 3 |
EW208 | Expository writing | GER | 3 | 0 | 3 |
CSC 237 | Database Systems | CS-Core | 3 | 1 | 4 |
Semester Total Credit Hours | 14 | 3 | 17 |
COURSE CODE | SUBJECT TITLE | Domain | CREDIT HOUR | ||
TH | PR | TOTAL | |||
CSC 211 | Data Structures | CS-Core | 3 | 1 | 4 |
CSC 141 | Computer Organisation & Assembly Language | CS-Core | 2 | 1 | 3 |
CSC-265 | Computer Networks | CS-Core | 2 | 1 | 3 |
CSC-359 | Software Engineering | CS-Core | 3 | 0 | 3 |
CSC 317 | Artificial Intelligence | CS-Core | 2 | 1 | 3 |
CSC 277 | Information Security | CS-Core | 2 | 1 | 3 |
Semester Total Credit Hours | 14 | 5 | 19 |
COURSE CODE | SUBJECT TITLE | Domain | CREDIT HOUR | ||
TH | PR | TOTAL | |||
CSC-551 | Elective 1 ( Advanced Database Lab) | Elective | 0 | 2 | 2 |
CSC-356 | Elective 2 (Web Technologies Lab) | Elective | 1 | 2 | 3 |
CSC-237 | Elective 3 (Mobile Application Development Lab) | Elective | 1 | 2 | 3 |
CSC-238 | Elective 4 (Advanced Programming Lab) | Elective | 1 | 2 | 3 |
CSC-239 | Elective 5 (Cyber Security Lab) | Elective | 1 | 2 | 3 |
HUM 104 | Ideology and Constitution of Pakistan | GER | 2 | 0 | 2 |
MAN 110 | Entrepreneurship | GER | 2 | 0 | 2 |
ISL 111 | Islamic Studies /Ethics | GER | 2 | 0 | 2 |
Semester Total Credit Hours | 10 | 10 | 20 |
COMPUTER SCIENCE ELECTIVE COURSES
FOR ADP in ARTIFICIAL INTELLIGENCECOURSE CODE | COURSE TITLE | CREDIT HOURS |
CSC-238 | Advanced Programming | 3+1 |
CSC-xxx | Machine Learning | 2+1 |
CSC-591 | Cyber Laws and Policies | 3+0 |
TOTAL (ANY TWO OF THE ABOVE) | 6 (6+0) |