Find out more about the Galvanize Data Science Immersive and the Masters of Science in Data Science offered with the University of New Haven.

1. D A T A S C I E N C E

2. Building the modern, educational campus
for digital innovators and entrepreneurs

3. Galvanize is a learning ecosystem for digital innovators and entrepreneurs that combines education, experience and industry
within a modern campus environment.
THE GALVANIZE ECOSYSTEM
INFORMAL FORMAL
Entrepreneur to
entrepreneur
connection
Learning from other
builders and innovators
NETWORK
EFFECT
Galvanize/Partner Prepared
Content & Programming
Workshops and seminars to
educate and equip
entrepreneurs
PREPARED
CONTENT
Full Stack Web
Development +
Data Science Immersive
Vocational-style approach
for teaching modern
digital skills
CLASS
BY CLASS
Accredited
Curriculum
Focused on marketable and
relevant learning
GALVANIZE
U

4. B O U L D E R
W E S T P E A R L
GALVANIZE CAMPUSES
G O L D E N T R I A N G L E
D E N V E R
P L AT T E
L I N D E N S T S O M A
F O RT C O L L I N S S A N F R A N C I S C O S E AT T L E
D E N V E R
P I O N E E R S Q U A R E

5. • 12 weeks
• 93% Placement Rate
• $115K Median Starting Salary
D A T A S C I E N C E
I M M E R S I V E
www.galvanize.com/courses/data-science/

6. STRUCTURED CURRICULUM
HIRING
DAY
CAPSTONE
PROJECT
GRADUATION
1 8 11 12
INTERVIEW
PREP
Program Timeline

7. Statistics
Statistical Distributions
(Non) Parametric Tests
Significance &
Hypothesis Testing
Bayesian Methods
Mathematics
Linear Algebra
Multivariable Calculus
Graph Theory
Probability
Supervised
(SVM, Random Forest)
NLP / Information
Retrieval
Machine Learning
Validation, Model
Comparison
Unsupervised
(Clustering, Topic
Modeling)
Distributed Computing
Algorithms & Data
Structures
Data Visualization
Data Munging
Software Engineering

8. D A I L Y S C H E D U L E
Daily Mini Quoz
Get geared up for the day with short review questions and
practice on essential skills
Lecture
Our expert instructors keep things short by focusing on tying
concepts together, providing context, and checking
understanding.
Pair Programming
Our pair programming stations help facilitate true collaboration,
which increases understanding while reducing errors.
Breakout Sessions
For those ready for more advanced topics or just a refresher,
breakout sessions allow personalized instruction and feedback.
Events
Join us for events at our office and elsewhere, where we invite
prominent data scientists to speak about their experience in
industry.

9. 1. Take Home Pre-Challenge
Python, SQL, and a statistical analysis problem.
2. Technical Interview #1
Via Skype, focused on Python programming.
3. Technical Interview #2
Via Skype, focused on statistics and probability.
A D M I S S I O N S P R O C E S S

10. • $16,000 Tuition
• Option to purchase 8GB MacBook Air
• Galvanize partners with Lending Partners to
finance tuition
• Upfront deposit of $2,000
• Partial scholarships available.
T U I T I O N & P A Y M E N T P L A N S

11. • Galvanize aims to help individuals from all
backgrounds join the tech industry by
creating an on-ramp for students with
ambition and an aptitude to learn.
• Women, people who identify as LGBT,
veterans and other underrepresented
people in technology.
• Partial scholarships from $1000-$5000
• Application once you apply.
S C H O L A R S H I P S
A V A I L A B L E

12. • 12 month accredited master’s degree
with the University of New Haven
• Curriculum overs foundational math and
statistics, advanced machine learning
and NLP, and scalable data engineering
• Industry internship and capstone project
MASTER OF SCIENCE
IN DATA SCIENCE

13. !! !
Machine
Learning and
Data Analysis I!
Data Exploration
and Feature
Engineering!
Mathematics for
Data Scientists!
Natural
Language
Processing!
Data Science
Leadership and
Visualization!
Machine
Learning and
Data Analysis II!
Distributed
Data
Engineering!
Special Topics
Seminar!
Project
Proposal!
CapstoneProject!
Internship!
Minimester 1!
Minimester 4!
Minimester 2!
Minimester 3!
Minimester 5!

14. 1. Application at
www.galvanizeu.newhaven.edu
2. Select candidates invited for an interview
with Galvanize/UNH faculty
Python, probability, linear algebra, statistics,
math
3. Recommended for acceptance at UNH
All applications reviewed by the UNH College
of Engineering
ADMISSIONS
PROCESS

15. • BS degree in computer science,
statistics, math, or related field
• Industry experience a plus
WHO WE LOOK FOR

16. • 30 Credit Hours, total tuition is $48,000
• Students are eligible for all forms of state
and financial aid through the UNH
Financial Aid Office
• Scholarships available to students based
on academic merit; special partner
scholarships vary for each start date
• International Students eligible for student
visas for the August 2016 term
TUITION, FINANCIAL AID, AND
SCHOLARSHIPS

17. D A T A S C I E N C E I M M E R S I V E
1 2 W E E K S
Founda'onal
Skills
3-­‐week
Capstone
Project
Industry
Experience
3-­‐4
month
Capstone
Project
300
hour
internship
Data
Engineering
Natural
Language
Processing
6
credits
2
courses
3
credit
course
1
week
1
week
4
weeks
3
credit
course
G A L V A N I Z E U
1 Y E A R
Presenta'on
Communica'on
6
credits
2
courses
Special
Topics
3
credit
course
3
credit
cours
e
1
week
1
week
Machine
Learning

18. H I R I N G P A R T N E R S

19. D A T A S C I E N C E
admissions@galvanize.com!