Junia Graduate School of Engineering (HEI ISEN ISA)
Master of Science and Engineering in Big Data
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 9,500 / per year *
STUDY FORMAT
On-Campus
* no application fee
Fast-track counseling
By contacting the school, you'll get access to free priority counselling for any study and application questions.
Key Summary
Big Data describes sets of data being so voluminous and complex that traditional data-processing application software is no longer able to manage the information. Big Data presents one of the greatest IT challenges of our era and many experts have made Big Data their R&D priority. JUNIA’s internationally accredited program delivers a Master of Science and Engineering, allowing graduates to enter the workforce or pursue doctoral studies in institutions around the world.
Course objectives
Students in JUNIA’s Big Data program will gain expert skills in:
- Digital development tools
- Big Data project management
- New technology
- Machine learning
- Artificial intelligence
- User experience
- Cybersecurity and data
- Data science
Fall semester
- Data Report, Visualization
- Advanced Statistical Analysis
- Artificial Intelligence
- Operations Research
- Network and System base
- Technical Project
- Humanities and Management
- French as a Foreign Language
Spring semester
- Metaheuristics & Indexing
- Advanced Machine Learning
- Data Base
- Parallel and distributed programming
- Block Chain
- Technical Project
- Humanities and Management
- French as a Foreign Language
3-month Summer Internship
Fall semester
- Cloud Computing and Architecture
- Hadoop and Spark Ecosystem
- IT Risk and Management
- Secured Network Architecture
- Urbanization of IT services
- Humanities and Management
- Innovation Project
6-month Internship
As information becomes almost exclusively digitized, Big Data touches every aspect of society, economy, and industry. Over the past decade, technology leaders have made Big Data their R&D priority with increased investment of resources. This focus creates an opportunity for IT engineers across industries. Some career prospects in big data include chief data officer, business intelligence manager, data scientist, data analyst, data miner, master data manager, data protection officer, and more.
Project-based learning
Learning to work in a team and manage complex projects is an essential skill for any engineer. Therefore, one day every week is dedicated to group projects, supervised by a professor and a representative from the IT industry or a partner company. These projects allow students to apply their technical knowledge to real-world issues faced by our industry partners.