Diploma in AI & Data Science
Hands-on two-year professional diploma in Python, Data Analytics, Power BI, Machine Learning, and Generative AI applications.
Program Overview
Designed for professionals and ambitious graduates, the Diploma in AI & Data Science provides practical mastery over modern machine learning tools, statistical data analytics, predictive modeling, and generative AI prompt engineering over a 2-year comprehensive curriculum.
Why Study Diploma in AI & Data Science at Pak Royal College?
Real-World Data Pipelines
Work with real financial, healthcare, and retail datasets.
Industry Standard Toolchain
Python, Pandas, NumPy, Scikit-Learn, Power BI, and OpenAI APIs.
Portfolio-Driven Learning
Graduate with 5+ showcase projects on GitHub and live dashboards.
Career Transition Support
Guidance on freelance data science, remote job interviews, and resume building.
Academic Curriculum & Semester Breakdown
Explore course codes, credit distribution, and practical lab components across each academic semester.
| Course Code | Course Title | Credit Hours | Course Type |
|---|---|---|---|
| DAI-101 | Python for Data Science & Numerical Computing | 4 (2+2) | Core Lab |
| DAI-102 | Data Wrangling with Pandas & SQL | 4 (2+2) | Core Lab |
| DAI-103 | Exploratory Data Analysis & Visualization (Power BI) | 4 (2+2) | Analytics |
Program Learning Outcomes
Python Data Wrangling
Clean, transform, and analyze complex structured and unstructured data.
Predictive ML Models
Build classification, regression, and clustering machine learning models.
Interactive Dashboards
Design executive dashboards using Microsoft Power BI and Tableau.
Generative AI Integration
Integrate LLMs, LangChain, and API-based intelligent automation.
Skills & Technologies You Will Master
Where Can This Degree Take You?
Potential career trajectories and roles pursued by our graduates.
Build predictive models and extract business intelligence.
Create visual interactive KPI dashboards for executives.
Implement AI tools and workflow automation for businesses.
Admission Requirements
Required Application Documents:
- Last degree/result copy
- CNIC copy
- 2 passport photos
Fee & Payment Schedule
* Installment plans available.
Scholarships Available for this Program
- Merit Scholarship
- Women in Tech Discount (20%)
Frequently Asked Questions
Is this course suitable for non-programmers?
Yes, the course starts from basic Python syntax and incrementally builds toward machine learning.
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