Data Analytics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 15 Weeks
Mode On Campus
Level Postgraduate
Degree Postgraduate Certificate
Closing soon January 2027

Course Overview

The Postgraduate Certificate in Data Analytics at the Manhattan Institute of Management equips you with the essential skills to navigate the complex world of data-driven decision-making. You will explore fundamental concepts in probability, statistics, and programming with Python, preparing you for advanced topics in big data analysis and machine learning. This intensive programme is designed for professionals seeking to enhance their analytical capabilities and transition into high-demand roles within the technology and finance sectors. You will gain a solid understanding of data preparation, wrangling, and exploration techniques crucial for extracting meaningful insights.

This full-time, on-campus programme is delivered over 15 weeks, immersing you in practical data analytics methodologies. You will engage with supervised and unsupervised machine learning algorithms, including Support Vector Machines, k-Nearest Neighbor, and Random Forest, applying them through hands-on projects using Python. The curriculum also delves into advanced topics like Principal Component Analysis (PCA), neural networks, and deep learning nets. Upon completion, you will graduate with a robust portfolio of projects and the expertise to pursue career opportunities as a data analyst, machine learning specialist, or business intelligence professional.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This course introduces the fundamentals of data analytics, covering essential programming skills in Python, probability, and statistics. Students will explore data preparation, wrangling, and exploration techniques for both structured and unstructured data, culminating in a big data analysis project. The curriculum delves into data modeling and machine learning, including supervised and unsupervised learning methods like Support Vector Machines, k-Nearest Neighbor, and Random Forests, with hands-on implementation projects. Advanced topics such as PCA, neural networks, and deep learning are also covered, preparing students for complex machine learning model implementation.

1 Prep. Phase

Programming in Python, probability and statistics

2 Week 1 ~ Week 4

Data Analytics Fundamentals
Python for Data Analytics
Introduction to Big Data analysis: data preparation and wrangling; data exploration objectives and methods: structure and unstructured data
Project: Big Data analysis using Python

3 Week 5 ~ Week 8

Data Models
Introduction to Machine Learning: supervised and unsupervised learning
Supervised Machine Learning: Support Vector Machines
k-Nearest Neighbor, ensemble Learning and Random Forest
Model Training
Project: Implementation of Supervised Machine Learning Model

4 Week 9 ~ Week 13

Advanced Topics and Application
Supervised Machine Learning Algorithms: PCA
Machine Learning Neural Networks, Deep Learning Nets, and Random Forest
Project: Implementation of Unsupervised Machine Learning Model

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 14,000.00
Total Program Cost Estimated total tuition
USD 14,000.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Food & Groceries USD 4,200.00 - USD 6,000.00
Transport USD 1,200.00 - USD 1,800.00
Utilities & Bills USD 1,440.00 - USD 2,400.00
Estimated Total USD 6,840.00 - USD 10,200.00

Living cost estimates are based on New York City Campus.

Outcomes & Employability

What happens after you graduate

90%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Artificial Intelligence & Machine LearningBlockchain & Emerging TechnologiesCloud Computing & InfrastructureData Science & AnalyticsDevOps & Site Reliability EngineeringHardware & Semiconductor EngineeringIT Support & Systems AdministrationProduct Management & UXQuality Assurance & TestingSoftware Development & Engineering

Top Employers Hiring for this course

Dassault Systèmes

Komeet Technologies

Why Study Data Analytics at Manhattan Institute of Management

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Moderate Application response time

Manhattan Institute of Management typically responds to applications within 1 - 2 weeks, giving you clarity on your options quickly.

Life at Manhattan Institute of Management in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Analytics at Manhattan Institute of Management

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. On-campus work doesn't require a separate work permit.

What English language score do I need for this course?

To enroll, you must meet specific English language requirements, such as a Duolingo overall score of 105 or a TOEFL overall score of 45. Ensure you meet one of these standards to qualify.

What jobs can I get after studying this course?

Some potential job titles include Data Analyst, Business Intelligence Analyst, Data Scientist, and Quantitative Analyst.

What will I actually study in this course?

  • MIM helps you acquire the critical Data Analytics skills and credentials you need to become more competitive and start a new career in technology
  • Learning Data Analytics is fast and easy with MIM!
  • Join our Data Analytics bootcamps and kickstart your career in high tech or Fintech

When can I start — what are the intake months?

Intakes for the Data Analytics course are held in January. Be sure to prepare your application in advance to start your journey in tech!
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