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: 6 Months

Format: Online

Accredited Program


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    PG Diploma in AI and Data Science

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    Doctor of Business Administration (DBA)

    Advanced Your Career to the Highest Level of Business Leadership.

    time is money

    Duration: 2 Year

    Format: Online

    Accredited Program


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      PG Diploma in AI and Data Science

        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.

        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. 

        A PG Diploma in Data Science & AI is more than just a degree; it may change your career in a big manner. A current Online PG Diploma in AI and Data Science  gets students ready for the demands of the real world, where businesses don’t just recruit graduates; they want experts who know how to work with data, algorithms, AI models, and real business settings. Students learn how to use data-driven methods to address real business challenges, construct smart solutions, and make a difference in many fields utilising advanced analytics and artificial intelligence in a structured graduate diploma data science curriculum.

        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. This PG Diploma in AI and Data Science  program is designed for learners who want to build practical skills for real-world industry roles. While prior experience in programming, statistics, or data analytics is not mandatory, familiarity with basic mathematics, logical reasoning, or computer usage is considered beneficial.

        Students enrolling in a pg diploma in data science with placement gain access to career-oriented learning, industry exposure, and professional development opportunities. The pg diploma in data science online learning format also allows candidates to study flexibly while building job-ready skills.

        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 AI and Data Science   is designed to prepare learners for one of the fastest-growing and most in-demand career domains worldwide. This graduate diploma data science program equips students with future-ready skills as organizations increasingly rely on data and artificial intelligence to drive decision-making, innovation, and automation. The pg diploma in data science ai curriculum is beginner-friendly yet industry-aligned, making it ideal for learners with or without prior coding experience.

        This pg diploma in data science with placement focuses on building job-ready skills through hands-on projects, real-world case studies, and practical tool-based learning. Learners also have the flexibility to pursue this program through a pg diploma in data science online format, enabling them to gain industry-relevant expertise while studying from anywhere.

        Through this program, 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 by GTR Academy is designed to teach students how to use data and AI technologies effectively in today’s enterprises by giving them the information, analytical abilities, and hands-on experience they need. This full PG Diploma in Data Science and Graduate Diploma in Data Science curriculum will teach you a lot about machine learning, AI, and data analysis. It will also show you how to apply these tools in the real world to solve problems.

        The PG Diploma in Data Science & AI program is meant to teach both new and experienced people about cutting-edge technologies. Because of this, people with a wide range of academic and professional backgrounds can learn about them.

        The program’s purpose is to teach students how to collect, analyse, analyse, and understand data, build smart and predictive models, and employ AI-powered tools to solve real-world business and industrial challenges. This PG diploma in data science with placement will help you become ready for a job by teaching you how to think critically, enhance your technical abilities, and make decisions based on data. You will do this by working on real-world projects and using tools that are useful in the profession. Students also benefit from an online pg diploma in data science since it allows them to learn in a systematic fashion that is relevant to the field while also preparing them for high-growth employment in data science and artificial intelligence.

        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
        • 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
        • DataFrame & Series Manipulation
        • Data Cleaning, Filtering & Aggregation
        • Merging & Joining Datasets
        • Basic Data Visualization
        • Arrays: Creation, Indexing, Slicing
        • Mathematical & Statistical Operations
        • Broadcasting & Reshaping
        • Performance Optimization Over Lists
        • CRUD Operations
        • Filtering Data, Joins
        • CTE & Subqueries
        • Window Functions
        • Measures of Central Tendency, Measures of Dispersion
        • Probability Theory
        • Continuous Probability Distributions
        • Hypothesis Testing
        • Inferential Statistics & Sampling Techniques
        • Text Preprocessing
        • Text Representation Techniques (Converting Text into Machine-Readable Format)
        • POS, Feature Engineering
        • Sentiment Analysis & Text Classification
        • Supervised Learning
        • Unsupervised Learning
        • Model Evaluation
        • Feature Engineering & Feature Selection
        • Neural Networks: Basics, Activation Functions
        • Optimizers, Loss Functions
        • CNNs for Image Processing
        • RNNs & LSTMs for Text Data
        • Gated Recurrent Units (GRUs)
        • 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).

        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.

        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.

        • 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.

        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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