Distance degree programs for Adults & Professionals.
Bircham International University - Adult Degree Programs Online.
Master's Degree - Computer Science
Data Science via distance learning
This Master's Degree of data science uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data. It analyzes the process of collecting, transforming, cleaning, and modeling data with the goal of discovering the required information. Data science is related to data mining, machine learning and big data.
The Master's Degree online via distance learning provides students with specialized training. Students acquire practical knowledge and specific skills in courses related directly to the student's concentration. More info...
* 36 to 54 academic credits above a Bachelor's program.
* Duration ranges from 9 to 12 months.
* Program Structure: 70% textbooks + 30% project.
* Admission is open for adults over 25 years of age.
* Bachelor's degree or international equivalent (3 to 4 years of study) is required for admission.
Fees include all: Program of study, textbooks, study guide, evaluation and assessment, diploma, and transcript.
Cost per BIU earned postgraduate credit: 130 Euros (170 US$)
Cost per transferred credit from previous education and/or professional experience if required: 20 Euros (25 US$)
36 ... 54 Academic credits
Tuition Fee :Min. 4.680 Euros (6.120 US$) ... Max. 7.020 Euros (9.180 US$).
"The journey of a thousand miles begins with one step." Lao Tzu.
Payment plans are available upon request up to 36 monthly installments. More info...
Data Science via distance learning
36 ... 54 Academic credits required for this distance learning degree program.
+ 39 Academic credits - Data Science Online
+ Other additional subjects
+ 13 Academic credits - Research methodology and final project or thesis.
+ 39 Academic credits: Data Science Online
BIU Earned Credits
Credits earned through the completion of academic work at Bircham International University (Reports, Projects and Thesis).
1 BIU Earned Credit = 1 USA Semester Credit (15 hours of learning) = 2 ECTS Credits (30 hours of study).
Courses list (each subject accounts for 3 academic credits):
You may study any subject as an independent online continuing education course. More info...
University graduate level continuing education course.
Background in this field of study is recommended.
501DAS - Computation & Data Structure
502DAS - Data Communications
503DAS - Statistical Methods
504DAS - Information Science
505DAS - Database Management
506DAS - Data Structures
507DAS - Data Science
508DAS - Numerical Analysis
509DAS - Data Management
510DAS - Big Data
511DAS - Data Analysis
512DAS - Numerical Optimization
513DAS - Applied Statistics
Bibliography: Data Science via distance learning
The corresponding textbooks are included in the fees. Once the fee has been paid, the books may take between two to five weeks to reach your address. Bircham International University offices may inform you at any time of the status of your books. If the book is in English, the required report must be written in English unless you have requested to write it in other language and have gained Bircham International University authorization. More info...
Click here to access the recommended bibliography.
+ Additional courses may be selected from other modules in the Faculty of Computer Science from Bircham International University if required. This selection must be approved by the Distance Learning University Education Board. For example: Bioinformatics - Cyber Security - Information Science - Information Technology - Library & Data Management - Management Information Systems - Museology - Statistics .
Other additional subjects - For example:
+ 13 Academic credits (Research methodology and final project or thesis. More info...).
Admission requirements: Master's - Data Science
Bircham International University distance learning degree admission requirements differ depending upon the Faculty and the major of study. There is no discrimination with respect to race, color, sex, beliefs and/or religion. A minimum of 30% of the total number of credits required by any adult degree program syllabus has to be transferred from previous education and/or validated from professional experience in order to gain admission. A maximum of 20% of the total number of credits required by the distance learning degree program can be transferred from professional and life experience. More info...
Click to Download... Application for Admission
About opportunities: “I lost a great employment opportunity. My resume was good; I had more experience than most other candidates. I was not hired because someone else had a better education. It was highly unfair, but it will never happen to me again”. More info...
Learning outcomes: Master's - Data Science
The following learning outcomes are compatible with the European Qualifications Framework (EQF) for lifelong learning and continuing education. The EQF directives facilitate acceptance of this course credits by many higher education institution. These learning outcomes are achieved after completion of this course with a passing grade. Better grades will demonstrate higher analysis, evaluation and critical thinking skills. More info...
EQF LEVEL 5. Applicable knowledge and problem resolution.
Outcome resulting from course content analysis and practical applications included in the report.
The student will discuss in writing the interrelationships between Data Science key concepts and will illustrate the contents with diagrams, charts, examples of practical application, and/or case studies. Several reviews and adjustments of the course contents will be necessary to meet the 20 to 35 pages report length limits and demonstrate a solid specialized knowledge of Data Science and its applicability in the professional field of Computer Science. More info...
EQF LEVEL 6. Advanced knowledge and critical understanding.
Outcome resulting from course content assessment and its applicability to problem solving.
The student's ability to combine the different parts of the text and to form a new coherent and harmonic final report will determine the critical understanding of the subject and an advanced knowledge of Data Science. The student written report style, content, and structure play an important role in the assessment and applicability of the knowledge about Data Science to different Computer Science decision making scenarios and problem-solving. More info...
Master's Degree - Computer Science
Data Science Online
Recognition - Distance degree programs - More info...
Accreditation - Distance Learning University - More info...
Degree Legalization - Graduate Services - More info...
Acceptance of these Distance Learning Higher Education academic credits is always the prerogative of the receiving institution or employer. Recognition criteria differ depending on each educational institution, or company policy, or country legal framework.
Master's Degree - Data Science