EXECUTIVE EDUCATION

Professional Certificate in Applied Data Science

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Course Dates
DEADLINE EXTENDED

March 2, 2021

Course Information Application deadline extended
Course Duration

DURATION

6 months online
10-15 hours per week

Course Duration

PROGRAM FEE

US$12,500 or get US$260 off with a referral

Course Information Flexible payment available
Course Information Special group enrollment pricing

Welcome

To claim your US$260 program fee coupon for Professional Certificate in Applied Data Science, please complete the information form.

Limited Time Offer!

US$12,500 US$6,500*

Pay Nothing While You Learn. Financing Options Starting At US$51/Month

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*A limited offer owing to the current pandemic situation

Use Tuition Assistance Code PCDS0520SPC to take advantage of this special price offer.

Jump In

Demand for data scientists crosses all industries as employers scramble to harness the power of data analytics to personalize their products, minimize risk, and expand into new markets. The Professional Certificate in Applied Data Science from the Thayer School of Engineering at Dartmouth positions professionals to take full advantage of this trend. Upon completing this program, you will be ready to take advantage of new opportunities and face new challenges in the field of Data Science.

"Data scientists are able to think of ways to use data to solve problems that otherwise would have been unsolved, or solved using only intuition."

–Peter Skomoroch, former principal data scientist at LinkedIn

3X

Data Science jobs are expected to grow almost 3X as fast as other job categories in the coming years.

SOURCE: BUREAU OF LABOR STATISTICS

$120,000

Average salary of a data scientist.

SOURCE: ITSTAFFING.COM

94 %

Of data science graduates have found jobs since 2011.

SOURCE: ITSTAFFING.COM

Who Is This Program For?

  • Career Launchers, wanting to enter an exciting, evolving field with a foundation that assures flexibility as new platforms and technologies enter the field.
  • Career Builders, ready to build upon existing skills, whether in a technical or non-technical capacity.
  • Career Switchers, looking for new ways to expand opportunities, engage in continuous learning, and increase earning potential.

Prerequisites:

Skill requirement: A demonstrated knowledge of Calculus, Linear Algebra, Statistics, and Probabilities is required. *

*Assessment: Students will be given an assessment to test their math skills prior to commencement of the program. You can view sample questions by clicking here.

Program Highlights: Prepare to Enter the Data Science Job Market

  • One-to-one career coaching*
  • World-class faculty and thought leadership
  • Regular live webinars*
  • Rigorous, graded assignments (Professional-level certificate)
  • Assistance with career planning
  • Real-world application of knowledge
  • Small group mentoring sessions
  • Learn from and network with your colleagues through peer discussions
  • Ivy League education
Additionally, you will develop high-demand skills in today’s job market, including: Data Visualization, Machine Learning, Risk Management, and Predictive Capabilities. You will understand the basics and potential of Python coding through live coding sessions and application-based assignments. Create visualizations, build linear and logistic regression models, and apply common Machine Learning algorithms such as K-means clustering and random forest. Access the personalized career guidance you need — beyond resumes and LinkedIn profiles — to prepare for a future career in data science. Lastly, you will also develop a data science portfolio to share with prospective employers.

"My goal is to demystify data science and help you unlock your potential as a data scientist. Together we will explore this landscape and develop your toolkit so that, using data science, you can provide valuable solutions to your future organization. My hope is that you will learn the key concepts to accelerate your journey of becoming a successful data scientist, whatever your industry or field of work may be."

–Geoffrey Parker, Professor of Engineering at Dartmouth College, Director of the Master of Engineering Management Program at Thayer School of Engineering

*Services provided by Emeritus, a learning partner for this program.

The Triumvirate: Your Personal Career Success Team

Career Coaching + Mentorship from Industry Experts + Webinars = Job-Ready Confidence

Where do you fit in the expanding universe of Data science? What is your unique skill set?

  • One-to-one sessions with your Career Coach will help you develop your value proposition to employers.
  • Mentors will help you navigate the challenges specific to data science careers in small group sessions.
  • Regular Webinars will improve your networking and job search skills. You’ll use these Webinars to craft your Linkedin profile, develop and practice delivering your elevator pitch for different audiences, identify interview goals, and practice developing a rapport with prospective employers.

The Learning Journey

Over the course of six months, you will develop a competency in data science fundamentals. By working directly with and recieving support from industry-expert mentors, you will be prepared for a shift into a career in data science.

EARLY PROGRAM SESSION: 4-WEEK PYTHON CODING CAMP
All students will participate in a four-week Python coding camp to prepare you to tackle the fundamentals of data science. Live office hours and moderated discussions boards offer personalized support.

Four Weeks:

Python Coding Camp

Module 1:

Practical Applications of Analytics

Module 2:

Data Structures and Plotting

Module 3:

Introduction to Statistics and Probability

Module 4:

Linear Models – Ordinary Least Squares

Module 5:

Linear Regression: Interactions and Transformations

Module 6:

Logistic Regression and Applying GLMs

Module 7:

Data Visualization Strategies

Module 8:

Experimental Design, Causal Research, and Targeting Analysis

Module 9:

Machine Learning

Module 10:

Final Project to Your Job-Ready Portfolio

Four Weeks:

Python Coding Camp

Module 6:

Logistic Regression and Applying GLMs

Module 1:

Practical Applications of Analytics

Module 7:

Data Visualization Strategies

Module 2:

Data Structures and Plotting

Module 8:

Experimental Design, Causal Research, and Targeting Analysis

Module 3:

Introduction to Statistics and Probability

Module 9:

Machine Learning

Module 4:

Linear Models – Ordinary Least Squares

Module 10:

Final Project to Your Job-Ready Portfolio

Module 5:

Linear Regression: Interactions and Transformations

For full details of the curriculum, please download the brochure.

Download Brochure

Featured Student Projects

Wine Uncorked

By Avantika Agarwal, Dan Grande, Brad Martin, Jess Nunez, Vamshi Venkatesh, Julia Winder. The study explores the wonderful world of wine through predictive modeling and data visualization.

Airbnb: A Data Analytics Report

By Adam Re, Deeksha Maggoo, Mayuresh Vaidya, Neerja Bakshi and Tayla Ma. The study shares the case of Airbnb as a primary focal company which uses a platform as their primary business model.

Flight Delayed

By Theodore Gordon, Andrew Hennesy, Sagar Rastogi, Kam Yan. The study determines what factors most influence the probability of flights being delayed at Boston Logan Airport. In addition to prediction, users will be provided an easy visualization of the data via Tableau.

The Brooklyn Real Estate Market

By Saranya Bhattacharya, Matt Capotosto, Gibs Donohue, Kening Peng, Mengou Yang. The study presents the business case and initial hypothesis; data interpretation using descriptive statistics; building a model to predict home prices; and packaging the model into a home seller pricing tool.

Faculty

Geoffrey Parker

Professor of Engineering at Dartmouth College, Director of the Master of Engineering Management Program at Thayer School of Engineering

Geoffrey Parker is Professor of Engineering at Dartmouth College, where he also serves as Director of the Master of Engineering Management Program. Parker also teaches regularly in the Dartmouth Tuck School of Business executive education program. In addition, he is a research fellow at MIT’s Initiative for the Digital Economy where he leads platform industry research studies and co-chairs the annual MIT Platform Strategy Summit. Prior to joining the Dartmouth faculty, he was Professor of Management Science at the Tulane University A. B. Freeman School of Business. He received a B.S.E. from Princeton and M.S. and Ph.D. from MIT. More info

Geoffrey Parker

Professor of Engineering at Dartmouth College, Director of the Master of Engineering Management Program at Thayer School of Engineering

Geoffrey Parker is Professor of Engineering at Dartmouth College, where he also serves as Director of the Master of Engineering Management Program. Parker also teaches regularly in the Dartmouth Tuck School of Business executive education program. In addition, he is a research fellow at MIT’s Initiative for the Digital Economy where he leads platform industry research studies and co-chairs the annual MIT Platform Strategy Summit. Prior to joining the Dartmouth faculty, he was Professor of Management Science at the Tulane University A. B. Freeman School of Business. He received a B.S.E. from Princeton and M.S. and Ph.D. from MIT.

Parker has made significant contributions to the field of network economics and strategy as co-developer of the theory of “two-sided” markets. He is co-author of the book Platform Revolution. His current research includes studies of platform business strategy and economics, data governance and regulation with application in areas such as finance, logistics, energy, and healthcare. Parker is a frequent keynote speaker and advises senior leaders on their organizations’ platform strategies. Before attending MIT, he held positions in engineering and finance at GE Semiconductor and GE Healthcare.

Professional Certificate

Example image of certificate that will be awarded after successful completion of this program

Professional Certificate

This is a rigorous, fully graded, skill-based program. The Professional Certificate in Applied Data Science from Thayer School of Engineering at Dartmouth shows prospective employers that you are ready to take on a challenging role in data science, from concept to code.

Download Brochure

Your verified digital certificate will be issued in your legal name and emailed to you, at no additional cost, upon completion of the program, as per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Thayer School of Engineering.

Pay Nothing While You Learn. Financing Options Starting At US$51/Month

We offer flexible and transparent payment options through our partner Skills Fund

US Residents (Deferred payment option available)

Rest of the World

Still Have Questions?

  • How do I know if this program is right for me?

    Demand for individuals with skills in data science has grown faster than supply, creating opportunities for those with quantitative abilities to launch into this career field. This online Professional Certificate in Applied Data Science is based on portions of the Master of Engineering Management program curriculum taught at the Thayer School of Engineering at Dartmouth by Professor Geoffrey Parker. It is organized around the skills that technology giants such as Amazon, Google, Facebook, Apple, and McKinsey value in data science professionals. Numerous participants in the on-campus version of the program have leveraged the skills acquired at Dartmouth to obtain positions in data analytics-oriented roles across a variety of industries.

    Are there any prerequisites for this program?

    You must demonstrate a knowledge of math and have basic coding experience to enroll in this program.

    • Mathematics requirement: A demonstrated knowledge of Calculus, Linear Algebra, Statistics, and Probability is required.
    • Assessment: Students will be given an assessment to test their math skills prior to the start of the program. You can view sample questions by clicking here.

    What is the typical class profile?

    A global and experienced peer group is one of the key elements of the program. The typical class will have early stage, mid-level, as well as senior professionals looking to create a new career pathway in data science. A large majority of participants come from the US but we attract many participants from the wider English-speaking markets like Australia, UK etc. Finally, your class will have professionals from various sectors of the economy, with high representation from Banking and Financial Services, Healthcare, E-commerce, Energy and IT Services.

    Why is there such a strong emphasis on math?

    In order to fully understand the real business problems that data science can help solve, you need to understand how the algorithms work. Take for example machine learning, an approach that is being applied across every industry. Math is a fundamental aspect of understanding what machine learning is about. As you proceed through your career and develop new skills, you will need to leverage this mathematical understanding to engage with and comprehend new literature and peer-reviewed journals on Machine Learning approaches.

    What are the requirements to earn the certificate?

    This is a graded program. You will be required to complete a combination of individual assignments, quizzes, and a final project. Each component carries a certain number of points and a cumulative score of 75% is required to pass and obtain your Professional certificate.

    Will I be guaranteed a job in data science?

    The program will give you the skills you need to be prepared for a job in this field, however a job placement is not guaranteed. Our program team includes data science mentors and career coaches to help you prepare for your job search. Employment offers will depend on many factors, including your prior experience, education, and target job market.

    • Review the sample math assessment, to see if you feel confident with the material that includes Calculus, Linear Algebra, Statistics, and Probability.
    • Submit your application.
    • Take the math assessment. You will have two attempts. Participants who pass the assessment will receive access to the program. Any deposit fees will be refunded to participants who do not pass the assessment.

  • How much time is required each week?

    This is a rigorous program that will require 10-15 hours per week. Python Coding Camp, which takes place during the first four weeks of the program, may be more time intensive.

    How will I spend my time?

    This program offers a mix of individual learning, small group sessions, and larger group webinars on topics to accelerate your career. You will divide your time among recorded video lectures, coding video demos, assignments, attending office hours, group webinars, and meetings with your dedicated career coach and mentor.

    What is it like to learn online with Dartmouth and their learning collaborator, Emeritus?

    It’s interactive, flexible, rigorous, and designed to include a lot of personal attention so that you can reach your learning goals more effectively. You will join a community of learners who are excited to expand and share their knowledge. Here are a few elements that set this program apart:

    • Program Director, Geoffrey Parker, is a Professor of Engineering at Dartmouth and Director of the Master of Engineering Management Program at Thayer School of Engineering. He received a B.S.E. from Princeton and M.S. and Ph.D. from MIT and has received multiple awards for his teaching and research.
    • 1:1 career coaching will help you craft an elevator pitch, cover letter, resume, LinkedIn profile, networking, interview skills, and negotiation skills.
    • Your data science mentor, an experienced professional currently practicing in the field, will make presentations and answer questions about the assignments and the final project.
    • Live webinars will focus on topics to accelerate your career in data science.
    • Live office hours held weekly throughout the program will address your questions about what you are learning.
    • A final graded assignment will serve as part of your job-ready portfolio.

    Who is Emeritus and where are they located?

    The Thayer School of Engineering at Dartmouth College is collaborating with Emeritus to create and deliver this program. The certificate is issued by the Thayer School of Engineering at Dartmouth College. Emeritus provides technology and student support throughout the experience.

    Emeritus is based in Singapore, with offices located in Boston, Mexico, Dubai, and Mumbai. More than 30,000 professionals from over 150 countries have taken programs with Emeritus to date.

    When are the live sessions scheduled?

    Because participants join from all over the world, we strive to schedule the live sessions at times when the majority of participants can join. Typically, that will be between 12 pm and 4 pm UTC. All sessions are recorded with recordings available 24 hours after the session. Moderated discussion boards supplement the live sessions.

    How do I interact with other program participants?

    Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform. You will also be part of a small learning group who you will work with throughout the entire duration of the program, along with your dedicated mentor.

  • What do I receive upon successful completion of the program?

    Upon successful completion of the program, you will receive a certificate from The Thayer School of Engineering at Dartmouth College. The digital certificate will be sent approximately two weeks after the program, once grading is complete.

    Can I get the hard copy of the certificate?

    No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, Twitter, etc.

    Do I receive alumni status after completing this program?

    No, there is no alumni status granted for this program.

    How long will I have access to the learning materials?

    You will have access to the online learning platform and all the videos and program materials for 1 full year following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment or technical requirements are there for this program?

    Participants will need these minimum system requirements to run Anaconda (Python and R programming languages)

    • Processors: 1 GHz
    • RAM: 1 GB of RAM
    • Disk space: 1 GB
    • Operating systems: Windows 7 or later, MacOS and Linux
    • Compatible tools: Any text editor, Command prompt

    Recommended System Requirements

    • Processors: 2.60 GHz
    • RAM: 8 GB of RAM
    • Operating systems: Windows 10, MacOS and Linux
    • Compatible tools: Any text editor, Command prompt

    Participants would also need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.

    Do I need to be online to access the program content?

    Yes, the learning platform is accessed via the internet and video content is not available for download. You can download files of video transcripts, assignment templates, readings, etc. Video lectures must be streamed via the internet and webinars and small group sessions will require an internet connection.

  • What is the program fee for the Professional Certificate in Applied Data Science from Dartmouth College and what forms of payment do you accept?

    • The program fee is shown at the top of this page and payment is accepted only in US dollars.
    • Flexible payment options are available
    • Tuition assistance is available for participants who qualify. Please contact your program advisor to discuss.

    What if I don’t have a credit card – is there another mode of payment accepted?

    Yes, you can do the bank remittance in USD via wire transfer. Please contact your Program Advisor for more details.

    Is there an option to make flexible payments for this program?

    We offer flexible payment options through our partner Skills Fund. We partner with Skills Fund to offer you flexible and transparent loan options.

    Click here to learn more

    There are also installment payment options available - you can find them at the top of this page

    Does the program fee include taxes? Are there any additional fees?

    Yes, the program fee is inclusive of any taxes with the exception of GST for Singapore residents

  • Withdrawals and Refunds

    You may request a full refund within seven (7) days of your payment or thirty (30) days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to: admissions@emeritus.org

    Deferrals

    After the published start date of the program, you have until five weeks to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period and the limit of one deferral per enrollment remains. All deferral requests should be sent to: admissions@emeritus.org

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