Overview

The Data Science and Analytics course from New England College teaches students to use machine learning, data mining, and other analytical techniques to develop strategic, data-informed solutions for business challenges.

Data analysts use business data from organizations and industries, including retail, healthcare, supply chain, and environmental, to generate insights about populations and processes. Effective data analysis can enhance productivity and increase profits, target medicines and treatments, optimize resource utilization, fight climate change, improve food production, and much more.

Students will focus on areas such as machine learning, big data, and natural language processing (NLP). In this applied programme, students will use real-world data in coursework that includes hands-on experiences as well as research into areas of interest.

Learning Outcomes

Upon completion of this programme, students will be able to:

Collect, clean, and transform data from a variety of sources into useful data to drive business decisions

Design and query databases to organize large amounts of data

Interpret data using a variety of statistical tools

Execute real-time analytics using stored and live datasets to quickly respond to customer needs

Communicate insights effectively using data visualization and reporting tools appropriate for diverse audiences

Accreditation

New England College is accredited by the New England Commission on Higher Education – NECHE

Programme Structure

Courses include:

Data Science Tools

Data Mining and Statistical Modeling

Visual Analytics

Python and Data Analytics

Machine Learning

Big Data Tools and Architecture

Key information

Duration

Part-time
- 20 months

Start dates & application deadlines

You can apply for and start this programme anytime.

More details

There are multiple start dates throughout the year. The admission process is rolling.

Language

English

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TOEFL^® IBT

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PTE Academic

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IELTS

5.5

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Credits

36 SCH

Delivered

Online

Campus Location

Henniker, United States

Disciplines

Data Science & Big Data Data Analytics View 192 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

2.7

English requirements

Duolingo English Test

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

5.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

You have completed a bachelor’s degree from an accredited school with a cumulative GPA of 2.75 or above.

Copy of valid passport

Résumé/curriculum vitae (CV)

Proof of financial availability

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

13257 USD / year

≈ 13257 USD / year
Out-of-State

13257 USD / year

≈ 13257 USD / year
Domestic

Applies to you

In-State

13257 USD / year

≈ 13257 USD / year

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Data Science and Analytics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Learning Outcomes

Accreditation

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Funding

Scholarships Information

Available Scholarships

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