Atlantic Technological University
Atlantic Technological University

Data Science & Preparatory Certificate in Computing

Atlantic Technological University, Ireland

Course Overview

Our on-campus MSc in Data Science is a meticulously designed program that delves into the key facets of this rapidly evolving field. Focused on delivering practical and applicable insights, the curriculum covers a spectrum of topics crucial to mastering the art and science of data analysis. A distinctive feature of this program is the inclusion of a dissertation component, affording students the unique chance to apply the diverse range of concepts covered in the coursework. This hands-on project not only showcases their extended knowledge but also demonstrates their adeptness in real-world applications of data science. For those opting not to pursue the dissertation, the program still awards a valuable qualification – a Postgraduate Diploma in Data Science. This ensures that all participants, whether aiming for comprehensive research or a more streamlined academic track, leave the program equipped with the skills and knowledge required to excel in the dynamic and in-demand field of data science.

Course Type
PG
Course Nature
Full Time
Course Duration
1 Year
Total Fee
€12000
Intake
September 2024
Language Proficiency

Under Graduation: 60%  

IELTS: 6.5

Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • LOR 1
  • LOR 2
  • CV
  • IELTS
  • SOP
  • EXPERIANCE CERTIFICATES
University
Atlantic Technological University
University Details

Syllabus

Program Overview: The Master of Science in Applied Data Science program is designed to provide students with a comprehensive understanding of data science concepts and practical skills for real-world applications. The program combines mandatory courses to build a strong foundation in data science principles with elective options to cater to individual interests and specialization.

Semester 1: Foundational Modules (Total Credits: 30)

  1. Database Systems (Mandatory, 5 credits)

    • Principles of relational databases
    • SQL and database design
    • Database administration and security
  2. Applied Statistics (Mandatory, 5 credits)

    • Statistical inference and hypothesis testing
    • Regression analysis
    • Probability distributions
  3. Programming (Mandatory, 10 credits)

    • Fundamentals of programming languages (e.g., Python, R)
    • Data structures and algorithms
    • Software development best practices
  4. Discrete Mathematics (Elective, 5 credits)

    • Graph theory and applications
    • Combinatorics and discrete structures
    • Logical reasoning and proofs

Semester 2: Advanced Data Science Modules (Total Credits: 70)

  1. Data Operations and Management (Mandatory, 10 credits)

    • Data preprocessing and cleaning
    • Data integration and transformation
    • Data governance and ethics
  2. Computational Mathematics (Mandatory, 10 credits)

    • Numerical methods and optimization
    • Linear algebra for data science
    • Computational complexity analysis
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