Data Science and Big Data Technology

Leading the Data-Driven Future, Decoding the Underlying Logic of the Digital World

Imagine a world where every byte of data is an untapped gold mine, every algorithm a key to reshaping reality. At the Data Science and Big Data Technology program of Qingdao City University, we don't merely introduce you to the digital universe—we empower you to master it. Since our establishment in 2020, we have embraced "Code the Future" as our mission, dedicated to cultivating pioneers capable of controlling PB/EB-level data torrents: they are not only interpreters of data but also wave-makers who reshape business logic with data skills.

Here, you are not merely a learner—but a creator, a problem solver, a future leader, ready to conquer the pinnacle of data. Are you ready to unlock the mysteries of the trillion-scale data universe? Your journey begins now.

Why Choose Data Science and Big Data Technology?

Project-Based Learning: From Data to Impact

"From Data to Impact"is our core philosophy. Your classroom is the practical training ground, seamlessly connecting theory to action. From your first day of enrollment, you will confront real-world challenges:

  • Optimizing e-commerce transaction big data processing platform design and implementation.
  • Comprehensively utilizing various log data to implement big data intelligent recommendation.
  • Simulating full-time online big data platform operations practice.

Our original "Industry Challenges → Technical Breakthroughs → Business Validation" three-stage training model deeply integrates statistics, distributed computing, and data engineering technologies. Starting from sophomore year, you will process real enterprise datasets in the big data laboratory; by graduation, you will have accumulated 2-3 years of industry practical experience—this is your capital to stand out in competition.

Your Data Mastery Toolkit

Master the core tools driving the data revolution:

  • Data Engineering: Hadoop/Spark ecosystem, real-time data pipelines (Kafka+Flink), and workflow orchestration (Airflow).
  • Intelligent Analysis: Full-stack machine learning development, data model optimization.
  • Business Intelligence: Tableau in-depth visualization, Python business intelligence automated analysis and report generation.

With these tools, you will possess comprehensive capabilities to transform raw data into profound insights and define the construction of future intelligent systems.

Elite Data Talent Development Program

Progressive training paves the growth path, empowering you to advance toward success step by step:

  • Professional Skills Training Ground: Solidifying data skills foundation. Our curriculum system references training programs from global top institutions including MIT and CMU for Data Science and Big Data Technology. Here you can systematically study core courses in data storage, data processing, data analysis, data applications, and data decision-making, while timely adjusting according to domestic and regional talent market demands.
  • Practical Workshop Training Camp: Focusing efforts on bridging the industry-academia loop. Our program specially integrates regional characteristic practices such as local marine economy big data and intelligent manufacturing data analysis. Here you can participate in enterprise practical projects starting from sophomore year through the locally deployed Neusoft U+ platform, engaging with cutting-edge real market demands, continuously breaking through from data processing to service deployment in practice.

Technology Competitions: Highlighting Your Technical Prowess

Here, you will compete alongside students from top universities, with opportunities to stand on national and even global award stages. Our outstanding competition achievements are the best proof of student capabilities:

Outstanding Achievements Since 2024:

  • RAICOM Robotics Developer Competition - Big Data Category: 25 national-level awards (highest achievement: 2nd nationally out of 60+), 34 provincial-level awards
  • National College Student Digital Media Technology Works and Creativity Competition: 10 national-level awards, 12 provincial-level awards
  • National University Computer Capability Challenge: 5 national-level awards, 14 provincial-level awards

These honors are not only recognition of your capabilities but also shining credentials for future job hunting.

Basic Information

  • School School of Computer Engineering
  • Study Mode Full-time
  • Program Length 4 years
  • Degree Data Science and Big Data Technology (Bachelor of Engineering)

Knowledge and Skills

Graduates of this program will possess the following capabilities:

  • Statistics and Probability Theory: Students will master fundamental knowledge of statistics and probability theory, learning how to collect, clean, organize, and analyze data, and effectively extract meaningful information from data. These skills are the cornerstone of efficient data analysis.
  • Databases and Data Management Systems: Through learning the fundamental principles of databases and data management systems, students can proficiently perform data storage, management, and query operations, supporting complex data processing requirements.
  • Programming Languages: Students will proficiently master at least one advanced programming language, such as Python, and its applications in data science. This includes using various libraries and frameworks to complete data analysis and machine learning projects.
  • Machine Learning and Deep Learning: Providing fundamental and advanced knowledge in machine learning and deep learning, enabling students to utilize existing tools to solve practical problems and explore data-driven solution innovations.
  • Data Visualization and Reporting: Cultivating students' abilities to use advanced data visualization tools for data presentation, as well as writing data-driven reports and insights, which is crucial for the success of data projects.
  • Project Management and Communication Skills: Emphasizing the importance of project management and team collaboration, teaching students how to effectively communicate with team members and stakeholders to ensure smooth execution of data projects.
  • Business Domain Knowledge: Beyond technical skills, this program emphasizes the importance of business knowledge, enabling students to apply data analysis to specific business scenarios such as finance, healthcare, or retail.
  • Data Privacy and Security: Teaching students fundamental principles of data privacy and security, ensuring they comply with relevant regulations and ethical standards when handling sensitive information.

Message from the Program Director

"Universal Perception, Universal Connectivity, Universal Intelligence"—data reigns supreme. Big data has initiated the third wave of informatization. As tide-riders of the era, you are filled with passion and dreams. I hope you will mount the "cloud platform," navigate "big data," focus on the future, observe reality, tap infinite potential, ride the waves forward, and code a brilliant life."

Chen Yanbo

Curriculum System: Forging Full-Stack Data Combat Capabilities

Learning Data Science and Big Data Technology requires solid mathematical foundations and programming capabilities. Although challenging, we have designed progressive training programs to ensure students with different foundations can find growth paths suitable for themselves.

Our curriculum system is your success engine, unfolding around three major capability pillars, running through a four-year hardcore progressive growth trajectory:

Foundation Courses: Data Infrastructure Establishing Solid Foundation

  • Mathematical Fundamentals: Trinity of Calculus + Linear Algebra + Probability Theory constructing the cornerstone of data thinking
  • Professional Foundation: Programming leap from C/Python to Java, trinity of Linux/Databases/Cloud Networks;
  • Cloud-Data Integration: Spark-centered data processing system compatible with cloud-native architectu

Core Courses: Data Engineering Empowering Skill Upgrades

  • Engineering Matrix: Workflow pipeline forging (Data ETL technology) + Intelligent operations system (Automated operations + DevOps)
  • Algorithm Advancement: Data mining + Machine learning flying on dual wings, model thinking pointing directly to technology and industry frontiers

Advanced Practice: Business Value Achieving Perfect Closed Loop

  • Data Alchemy: From preprocessing/visualization to business intelligence analysis, creating value transformation closed loop
  • Project Management: Software project management + Data security ethics, combining strategic thinking with technical bottom line

Junior → Intermediate → Advanced three-stage full-stack practical skills progressive evolution:

  • Sophomore Year: Three major training foundations in software backend/big data/operations (Advanced Linux operations + Platform construction)
  • Junior Year: Distributed storage + Cloud computing + Microservices architecture practical advancement (Huawei Cloud/Huawei Cloud certification integration)
  • Senior Year: Enterprise-level project practice (Real big data battlefield + Engineering implementation)

Career Outcomes

Your future is not only bright but filled with infinite possibilities. Imagine yourself becoming:

  • Data Engineer: Building TB-level data platforms, processing massive logs.
  • Data Operations Engineer: Maintaining and optimizing data infrastructure, supporting massive data services.
  • Business Analyst: Driving market decisions with precise data analysis.
  • Entrepreneurial Pioneer: Launching your entrepreneurial journey with four years of learning.

Each growth path is equipped with professional mentor teams providing full navigation, with national-level certification systems paving career growth ladders, ensuring every breakthrough is imprinted with the glory of authoritative certification!

Holding authoritative certifications from global technology giants will significantly enhance resume competitiveness:

【Huawei Cloud HCIA/HCIP/HCIE-Big Data】+【Alibaba Cloud ACA/ACP/ACE-Big Data】certification combination, achieving the supreme certification of MIIT Big Data Engineer!

【Huawei Cloud HCIA/HCIP-Artificial Intelligence】+【Alibaba Cloud ACA/ACP-Artificial Intelligence】dual certification, transforming into future technology navigator!

【Huawei Cloud HCIA/HCIP-DevOps】+【Alibaba Cloud ACA/ACP-DevOps】certification combination, creating full-stack data engineers for the digital era!

These internationally recognized "golden brands" are not merely certificates but competitive weapons for your workplace success! Carrying certification medals from technology giants, confidently march toward the talent battlefield and launch your golden career!