PG Diploma in Data Science & AI
Advance your career to the highest level of business leadership. Transform your expertise into strategic impact with our globally recognized program.
Duration: 1 Year
Format: Online
Accredited Program
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Doctor of Business Administration (DBA)
Advanced Your Career to the Highest Level of Business Leadership.
Duration: 2 Year
Format: Online
Accredited Program
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Course Overview
PG Diploma in Data Science & AI
The PG Diploma in Data Science & AI is an industry-focused program designed to equip learners with the practical skills required to analyze data, build intelligent models, and apply artificial intelligence solutions to real-world business problems. The program is structured to support both beginners and working professionals, including those with no prior coding background.
Participants gain hands-on experience in data analysis, statistics, machine learning, artificial intelligence, and real-world project implementation using industry-relevant tools and technologies. The curriculum emphasizes applied learning, enabling learners to transform raw data into actionable insights and data-driven decisions.
The Changing Business Landscape
The Changing Business Landscape
The pace of change we are witnessing today is unlike anything we have seen in recent history.
Admission
Admission Requirements
General Admission Requirements
- A copy of a valid government-issued photo identity card.
- A copy of an updated resume.
- Any document if not in English must be accompanied by a certified translated copy.
Additional Admission Requirements – PG Diploma in Data Science & AI
Applicants applying for the PG Diploma in Data Science & AI are expected to demonstrate a strong interest in data-driven problem solving and artificial intelligence applications. While prior experience in programming, statistics, or data analytics is not mandatory, familiarity with basic mathematics, logical reasoning, or computer usage is considered beneficial. Candidates must submit a completed application form, official academic transcripts, an updated resume, and a valid government-issued photo identification. Academic documents issued in languages other than English must be accompanied by a certified English translation.
The program is suitable for fresh graduates, career switchers, and working professionals seeking to build or advance careers in Data Science and Artificial Intelligence.
Why Choose Us
Why Choose PG Diploma in Data Science & AI
The PG Diploma in Data Science & AI is designed to prepare learners for one of the fastest-growing and most in-demand career domains worldwide. As organizations increasingly rely on data and artificial intelligence to drive decision-making, innovation, and automation, skilled data and AI professionals are in high demand across industries. This program offers a beginner-friendly yet industry-aligned curriculum, making it ideal for learners with or without prior coding experience. Through hands-on projects, real-world case studies, and practical tool-based learning, participants gain the skills needed to analyze data, build intelligent models, and apply AI solutions to real business challenges.
Objectives
Program Objectives
The PG Diploma in Data Science & AI is designed to equip learners with the knowledge, analytical skills, and practical expertise required to work effectively with data and artificial intelligence technologies in modern organizations. The program aims to develop a strong foundation in data analysis, machine learning, and AI concepts while emphasizing real-world application and problem solving.
The objective of the program is to enable learners to collect, process, analyze, and interpret data, build predictive and intelligent models, and apply AI-driven solutions to business and industry challenges. Through hands-on learning, practical projects, and industry-relevant tools, participants strengthen critical thinking, technical proficiency, and data-driven decision-making capabilities.
The program goals are:
- Goal 1:Build strong foundational knowledge in data analysis, statistics, and artificial intelligence concepts.
- Goal 2: Apply, synthesize, analyze, and integrate knowledge of business, technology, and other fields to arrive at innovative solutions to organizational problems.
- Goal 3: Enable effective use of industry-standard tools and technologies for data processing and model development.
- Goal 4: Strengthen analytical thinking and data-driven decision-making abilities for real-world business applications.
- Goal 5: Prepare learners for industry-ready roles by applying data science and AI techniques to practical projects and case studies.
Licensure & Associations
Course Structure
Program Curriculum
Module -1: Introductory Session
- Business understanding
- Data understanding
Module – 2: Python for Data Science
- Basics
- Control Flow: If-Else, Loops, Functions
- Data Structures: Lists, Tuples, Dictionaries, Sets
- File Handling: Read/Write CSV & JSON Files
- Error Handling: Try-Except Blocks
- Advanced: List Comprehensions, Dictionary Comprehensions, Date Time Module
Module – 3: Pandas for Data Analysis
- DataFrame & Series Manipulation
- Data Cleaning, Filtering & Aggregation
- Merging & Joining Datasets
- Basic Data Visualization
Module – 4: NumPy for Numerical Computing
- Arrays: Creation, Indexing, Slicing
- Mathematical & Statistical Operations
- Broadcasting & Reshaping
- Performance Optimization Over Lists
Module – 5: SQL for Data Extraction
- CRUD Operations
- Filtering Data, Joins
- CTE & Subqueries
- Window Functions
Module - 6: Statistics
- Measures of Central Tendency, Measures of Dispersion
- Probability Theory
- Continuous Probability Distributions
- Hypothesis Testing
- Inferential Statistics & Sampling Techniques
Module - 7: NLP (Natural Language Processing)
- Text Preprocessing
- Text Representation Techniques (Converting Text into Machine-Readable Format)
- POS, Feature Engineering
- Sentiment Analysis & Text Classification
Module - 8: Machine Learning
- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- Feature Engineering & Feature Selection
Module - 9: Deep Learning
- Neural Networks: Basics, Activation Functions
- Optimizers, Loss Functions
- CNNs for Image Processing
- RNNs & LSTMs for Text Data
- Gated Recurrent Units (GRUs)
Module - 10: Final Projects
- Final Project Completion
- HR Session with Industry Experts
- ATS friendly resume preparation
- LinkedIn Profile Optimization
- Interview Secret Tips
More Information
Additional Information for PG Diploma in Data Science & AI
FAQs
Frequently Asked Questions
What are the basic requirements of the PG Diploma in Data Science & AI at Birchwood University?
To be eligible for the PG Diploma in Data Science & AI at Birchwood University, applicants must have completed or be in the final year of a Bachelor’s degree in any discipline from a recognized institution. Candidates are required to submit an updated resume, a valid government-issued photo ID, and all relevant academic documents (with certified English translations if applicable).
Do I need to visit University campus during the course of the program?
No. The PG Diploma in Data Science & AI at Birchwood University is delivered fully online, so you do not need to visit the university campus. All classes, assignments, projects, and assessments are completed remotely.
How long is the PG Diploma in Data Science & AI that Birchwood University offers?
The PG Diploma in Data Science & AI offered by Birchwood University is designed to be completed in 1 year. The flexible online structure allows learners to balance their studies with personal and professional commitments.
What career opportunities are available after completing the PG Diploma in Data Science & AI?
- Graduates of the PG Diploma in Data Science & AI can pursue a wide range of career opportunities across data-driven and technology-focused industries. Common roles include Data Scientist, Data Analyst, AI Specialist, Machine Learning Engineer (Associate), Business Intelligence Analyst, and Analytics Consultant.
Is the PG Diploma in Data Science & AI at Birchwood University worth it?
Yes. The PG Diploma in Data Science & AI at Birchwood University is designed to provide learners with practical, industry-relevant skills that are highly valued in today’s data-driven job market. The program focuses on hands-on experience with real-world tools, data analysis techniques, and AI applications, preparing graduates for roles such as Data Scientist, Data Analyst, and AI Specialist.
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